The Stanford NLP Group (original) (raw)
Isabel Papadimitriou and Dan Jurafsky. 2020.
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models
Isabel Papadimitriou and Dan Jurafsky
2020
Empirical Methods in Natural Language Processing (EMNLP)
Wanxiang Che, Valentin I. Spitkovsky and Ting Liu. 2012.
A Comparison of C hinese Parsers for S tanford Dependencies.
Association for Computational Linguistics (ACL).
[paper, bib]
A Comparison of C hinese Parsers for S tanford Dependencies
Che , Wanxiang and Spitkovsky , Valentin I. and Liu , Ting
2012
Association for Computational Linguistics (ACL)
Steven Bethard and Dan Jurafsky. 2010.
Who should I cite? Learning literature search models from citation behavior.
ACM Conference on Information and Knowledge Management (CIKM).
[paper, bib]
Who should I cite? Learning literature search models from citation behavior
Steven Bethard and Dan Jurafsky
2010
ACM Conference on Information and Knowledge Management (CIKM)
Spence Green, Daniel Cer and Christopher D. Manning. 2014.
Phrasal: A Toolkit for New Directions in Statistical Machine Translation.
North American Association for Computational Linguistics (NAACL) Workshop on Statistical Machine Translation.
[paper, bib]
Phrasal: A Toolkit for New Directions in Statistical Machine Translation
Green , Spence and Cer , Daniel and Manning , Christopher D.
2014
North American Association for Computational Linguistics (NAACL) Workshop on Statistical Machine Translation
Sida I. Wang, Mengqiu Wang, Stefan Wager, Percy Liang and Christopher D. Manning. 2013.
Feature Noising for Log-linear Structured Prediction.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Feature Noising for Log-linear Structured Prediction
Sida I. Wang and Mengqiu Wang and Stefan Wager and Percy Liang and Christopher D. Manning
2013
Empirical Methods in Natural Language Processing (EMNLP)
Shipra Dingare, Jenny Finkel, Christopher D. Manning, Malvina Nissim and Beatrice Alex. 2004.
Exploring the Boundaries: Gene and Protein Identification in Biomedical Text.
Proceedings of the BioCreative Workshop.
[paper, bib]
Exploring the Boundaries: Gene and Protein Identification in Biomedical Text
Shipra Dingare and Jenny Finkel and Christopher D. Manning and Malvina Nissim and Beatrice Alex
2004
Proceedings of the BioCreative Workshop
Sebastian Padó, Michel Galley, Dan Jurafsky and Christopher Manning. 2009.
Textual Entailment Features for Machine Translation Evaluation.
European Association for Computational Linguistics (EACL) Workshop on Machine Translation.
[paper, bib]
Textual Entailment Features for Machine Translation Evaluation
Sebastian Pad\'o and Michel Galley and Dan Jurafsky and Christopher Manning
2009
European Association for Computational Linguistics (EACL) Workshop on Machine Translation
Gabor Angeli, Julie Tibshirani, Jean Y. Wu and Christopher D. Manning. 2014.
Combining Distant and Partial Supervision for Relation Extraction.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Combining Distant and Partial Supervision for Relation Extraction
Gabor Angeli and Julie Tibshirani and Jean Y. Wu and Christopher D. Manning
2014
Empirical Methods in Natural Language Processing (EMNLP)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas and Christopher D Manning. 2023.
Characterizing intrinsic compositionality in transformers with Tree Projections.
The Eleventh International Conference on Learning Representations.
[paper, bib]
Characterizing intrinsic compositionality in transformers with Tree Projections
Shikhar Murty and Pratyusha Sharma and Jacob Andreas and Christopher D Manning
2023
The Eleventh International Conference on Learning Representations
Will Lewis, Robert Munro and Stephan Vogel. 2011.
Crisis MT: Developing A Cookbook For Machine Translation In Crisis Situations.
Annual Workshop on Machine Translation, EMNLP .
[paper, bib]
Crisis MT: Developing A Cookbook For Machine Translation In Crisis Situations
Will Lewis and Robert Munro and Stephan Vogel
2011
{ Annual Workshop on Machine Translation , EMNLP }
Nathanael Chambers and Dan Jurafsky. 2009.
Unsupervised Learning of Narrative Schemas and their Participants.
Association for Computational Linguistics (ACL).
[paper, bib]
Unsupervised Learning of Narrative Schemas and their Participants
Nathanael Chambers and Dan Jurafsky
2009
Association for Computational Linguistics (ACL)
J. Hewitt and P. Liang. 2019.
Designing and Interpreting Probes with Control Tasks.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Designing and Interpreting Probes with Control Tasks
J. Hewitt and P. Liang
2019
Empirical Methods in Natural Language Processing (EMNLP)
Angel X. Chang, Valentin I. Spitkovsky, Eric Yeh, Eneko Agirre and Christopher D. Manning. 2010.
Stanford-UBC Entity Linking at TAC-KBP.
Text Analysis Conference (TAC).
[paper, bib]
Stanford- UBC Entity Linking at TAC - KBP
Chang , Angel X. and Spitkovsky , Valentin I. and Yeh , Eric and Agirre , Eneko and Manning , Christopher D.
2010
Text Analysis Conference (TAC)
William L. Hamilton, Jure Leskovec and Dan Jurafsky. 2016.
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.
Association for Computational Linguistics (ACL).
[paper, bib]
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
Hamilton , William L. and Leskovec , Jure and Jurafsky , Dan
2016
Association for Computational Linguistics (ACL)
Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina Semnani and Monica S. Lam. 2023.
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Fine-tuned LLMs Know More , Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata
Xu , Silei and Liu , Shicheng and Culhane , Theo and Pertseva , Elizaveta and Wu , Meng-Hsi and Semnani , Sina and Lam , Monica S.
2023
Empirical Methods in Natural Language Processing (EMNLP)
Richard Socher, Danqi Chen, Christopher D. Manning and Andrew Y. Ng. 2013.
Reasoning With Neural Tensor Networks For Knowledge Base Completion.
Advances in Neural Information Processing Systems 26 .
[paper, bib]
Reasoning With Neural Tensor Networks For Knowledge Base Completion
Richard Socher and Danqi Chen and Christopher D. Manning and Andrew Y. Ng
2013
{ Advances in Neural Information Processing Systems 26 }
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang and Christopher D. Manning. 2019.
Answering Complex Open-domain Questions Through Iterative Query Generation.
2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing ( EMNLP-IJCNLP ).
[paper, bib]
Answering Complex Open-domain Questions Through Iterative Query Generation
Qi , Peng and Lin , Xiaowen and Mehr , Leo and Wang , Zijian and Manning , Christopher D.
2019
2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing ( { EMNLP-IJCNLP } )
Dan Klein and Christopher D. Manning. 2001.
Distributional Phrase Structure Induction.
Fifth Conference on Natural Language Learning (CoNLL-2001).
[paper, bib]
Distributional Phrase Structure Induction
Dan Klein and Christopher D. Manning
2001
Fifth Conference on Natural Language Learning (CoNLL-2001)
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn and Christopher D. Manning. 2022.
Enhancing Self-Consistency and Performance of Pretrained Language Models with Natural Language Inference.
Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Enhancing Self-Consistency and Performance of Pretrained Language Models with Natural Language Inference
Mitchell , Eric and Noh , Joseph J. and Li , Siyan and Armstrong , William S. and Agarwal , Ananth and Liu , Patrick and Finn , Chelsea and Manning , Christopher D.
2022
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Sida I. Wang, Percy Liang and Christopher D. Manning. 2016.
Learning Language Games through Interaction.
Association for Computational Linguistics (ACL).
[paper, bib]
Learning Language Games through Interaction
Sida I. Wang and Percy Liang and Christopher D. Manning
2016
Association for Computational Linguistics (ACL)
Mengqiu Wang, Wanxiang Che and Christopher D. Manning. 2013.
Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers.
Association for the Advancement of Artificial Intelligence (AAAI).
[paper, bib]
Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers
Mengqiu Wang and Wanxiang Che and Christopher D. Manning
2013
Association for the Advancement of Artificial Intelligence (AAAI)
Mehrad Moradshahi, Giovanni Campagna, Sina Semnani, Silei Xu and Monica Lam. 2020.
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation
Moradshahi , Mehrad and Campagna , Giovanni and Semnani , Sina and Xu , Silei and Lam , Monica
2020
Empirical Methods in Natural Language Processing (EMNLP)
Christopher D. Manning. 2002.
Review of Rens Bod, Beyond Grammar: An Experience-based Theory of Language.
Journal of Linguistics 38(2).
[paper, bib]
Review of Rens Bod , Beyond Grammar: An Experience-based Theory of Language
Christopher D. Manning
2002
Journal of Linguistics 38(2)
Angel X Chang, Manolis Savva and Christopher D Manning. 2014.
Learning Spatial Knowledge for Text to 3D Scene Generation.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Learning Spatial Knowledge for Text to 3D Scene Generation
Chang , Angel X and Savva , Manolis and Manning , Christopher D
2014
Empirical Methods in Natural Language Processing (EMNLP)
Roger Levy and Christopher D. Manning. 2004.
Deep dependencies from context-free statistical parsers: correcting the surface dependency approximation.
Association for Computational Linguistics (ACL).
[paper, bib]
Deep dependencies from context-free statistical parsers: correcting the surface dependency approximation
Roger Levy and Christopher D. Manning
2004
Association for Computational Linguistics (ACL)
Pi-Chuan Chang, Daniel Jurafsky and Christopher D. Manning. 2009.
Disambiguating " DE " for C hinese-E nglish Machine Translation.
Workshop on Statistical Machine Translation.
[paper, bib]
Disambiguating " DE " for C hinese- E nglish Machine Translation
Chang , Pi-Chuan and Jurafsky , Daniel and Manning , Christopher D.
2009
Workshop on Statistical Machine Translation
Sebastian Schuster, Matthew Lamm and Christopher D. Manning. 2017.
Gapping Constructions in Universal Dependencies v2.
NoDaLiDa 2017 Workshop on Universal Dependencies.
[paper, bib]
Gapping Constructions in Universal Dependencies v2
Schuster , Sebastian and Lamm , Matthew and Manning , Christopher D.
2017
NoDaLiDa 2017 Workshop on Universal Dependencies
Dan Iter, Jong H. Yoon and Dan Jurafsky. 2018.
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia.
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT) Workshop on Computational Linguistics and Clinical Psychology.
[paper, bib]
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia
Iter , Dan and Yoon , Jong H. and Jurafsky , Dan
2018
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT) Workshop on Computational Linguistics and Clinical Psychology
Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. 2012.
Semantic Compositionality Through Recursive Matrix-Vector Spaces.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Semantic Compositionality Through Recursive Matrix-Vector Spaces
Richard Socher and Brody Huval and Christopher D. Manning and Andrew Y. Ng
2012
Empirical Methods in Natural Language Processing (EMNLP)
Christopher D. Manning and Ivan A. Sag. 1999.
Dissociations between Argument Structure and Grammatical Relations.
Lexical And Constructional Aspects of Linguistic Explanation.
[paper, bib]
Dissociations between Argument Structure and Grammatical Relations
Christopher D. Manning and Ivan A. Sag
1999
Lexical And Constructional Aspects of Linguistic Explanation
Jenny Hong, Derek Chong and Christopher Manning. 2021.
Learning from Limited Labels for Long Legal Dialogue.
Proceedings of the Natural Legal Language Processing Workshop 2021.
[paper, bib]
Learning from Limited Labels for Long Legal Dialogue
Hong , Jenny and Chong , Derek and Manning , Christopher
2021
Proceedings of the Natural Legal Language Processing Workshop 2021
Joakim Nivre, Paola Marongiu, Filip Ginter, Jenna Kanerva, Simonetta Montemagni, Sebastian Schuster and Maria Simi. 2018.
Enhancing Universal Dependency Treebanks: A Case Study.
Proceedings of the Second Workshop on Universal Dependencies (UDW 2018).
[paper, bib]
Enhancing Universal Dependency Treebanks: A Case Study
Nivre , Joakim and Marongiu , Paola and Ginter , Filip and Kanerva , Jenna and Montemagni , Simonetta and Schuster , Sebastian and Simi , Maria
2018
Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)
Jiwei Li and Dan Jurafsky. 2015.
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Li , Jiwei and Jurafsky , Dan
2015
Empirical Methods in Natural Language Processing (EMNLP)
Silei Xu, Sina Semnani, Giovanni Campagna and Monica Lam. 2020.
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data
Xu , Silei and Semnani , Sina and Campagna , Giovanni and Lam , Monica
2020
Empirical Methods in Natural Language Processing (EMNLP)
Jenny Rose Finkel and Christopher D. Manning. 2010.
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data.
Association for Computational Linguistics (ACL).
[paper, bib]
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
Jenny Rose Finkel and Christopher D. Manning
2010
Association for Computational Linguistics (ACL)
Sharon Goldwater, Dan Jurafsky and Christopher D. Manning. 2008.
Which words are hard to recognize? Lexical, prosodic, and disfluency factors that increase ASR error rates.
Association for Computational Linguistics-Human Language Technologies (ACL-HLT).
[paper, bib]
Which words are hard to recognize? Lexical , prosodic , and disfluency factors that increase ASR error rates
Sharon Goldwater and Dan Jurafsky and Christopher D. Manning
2008
Association for Computational Linguistics - Human Language Technologies (ACL-HLT)
Will Y. Zou, Richard Socher, Daniel Cer and Christopher D. Manning. 2013.
Bilingual Word Embeddings for Phrase-Based Machine Translation.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Bilingual Word Embeddings for Phrase-Based Machine Translation
Will Y. Zou and Richard Socher and Daniel Cer and Christopher D. Manning
2013
Empirical Methods in Natural Language Processing (EMNLP)
Dan Klein and Christopher D. Manning. 2002.
Conditional Structure versus Conditional Estimation in NLP Models.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Conditional Structure versus Conditional Estimation in NLP Models
Dan Klein and Christopher D. Manning
2002
Empirical Methods in Natural Language Processing (EMNLP)
Lluís Màrquez, Marta Recasens and Emili Sapena. 2012.
Coreference resolution: an empirical study based on SemEval-2010 shared Task 1.
Language Resources and Evaluation.
[paper, bib]
Coreference resolution: an empirical study based on SemEval-2010 shared Task 1
Lluís Màrquez and Marta Recasens and Emili Sapena
2012
Language Resources and Evaluation
Dan Klein and Christopher D. Manning. 2004.
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency.
Association for Computational Linguistics (ACL).
[paper, bib]
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
Dan Klein and Christopher D. Manning
2004
Association for Computational Linguistics (ACL)
Nathanael Chambers and Dan Jurafsky. 2010.
A Database of Narrative Schemas.
Language Resources and Evaluation Conference (LREC).
[paper, bib]
A Database of Narrative Schemas
Nathanael Chambers and Dan Jurafsky
2010
Language Resources and Evaluation Conference (LREC)
Cheng-Tao Chu Yun-Hsuan Sung Zhao Yuan and Dan Jurafsky. 2006.
Detection of Word Fragments in Mandarin Telephone Conversation.
International Conference on Spoken Language Processing.
[paper, bib]
Detection of Word Fragments in Mandarin Telephone Conversation
Cheng-Tao Chu , Yun-Hsuan Sung , Zhao Yuan , and Dan Jurafsky
2006
International Conference on Spoken Language Processing
Christopher D. Manning and Bob Carpenter. 2000.
Probabilistic Parsing Using Left Corner Language Models.
Advances in Probabilistic and Other Parsing Technologies.
[paper, bib]
Probabilistic Parsing Using Left Corner Language Models
Christopher D. Manning and Bob Carpenter
2000
Advances in Probabilistic and Other Parsing Technologies
Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md Arafat Sultan and Christopher Potts. 2023.
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.
arXiv preprint arXiv:2303.00807.
[paper, bib]
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Saad-Falcon , Jon and Khattab , Omar and Santhanam , Keshav and Florian , Radu and Franz , Martin and Roukos , Salim and Sil , Avirup and Sultan , Md Arafat and Potts , Christopher
2023
arXiv preprint arXiv:2303.00807
Sonal Gupta and Christopher D. Manning. 2014.
SPIED: Stanford Pattern-based Information Extraction and Diagnostics.
Association for Computational Linguistics (ACL) Workshop on Interactive Language Learning, Visualization, and Interfaces.
[paper, bib]
SPIED: Stanford Pattern-based Information Extraction and Diagnostics
Sonal Gupta and Christopher D. Manning
2014
Association for Computational Linguistics (ACL) Workshop on Interactive Language Learning , Visualization , and Interfaces
Jiwei Li, Minh-Thang Luong, Dan Jurafsky and Eudard Hovy. 2015.
When Are Tree Structures Necessary for Deep Learning of Representations?
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
When Are Tree Structures Necessary for Deep Learning of Representations?
Li , Jiwei and Luong , Minh-Thang and Jurafsky , Dan and Hovy , Eudard
2015
Empirical Methods in Natural Language Processing (EMNLP)
Kristina Toutanova and Christopher D. Manning. 2000.
Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger.
Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000).
[paper, bib]
Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger
Kristina Toutanova and Christopher D. Manning
2000
Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000)
Christopher D. Manning. 2003.
Statistical approaches to natural language processing.
Encyclopedia of Cognitive Science.
[paper, bib]
Statistical approaches to natural language processing
Christopher D. Manning
2003
Encyclopedia of Cognitive Science
Kristina Toutanova, Aria Haghighi and Christopher D. Manning. 2005.
Joint learning imrpoves semantic role labeling.
Association for Computational Linguistics (ACL).
[paper, bib]
Joint learning imrpoves semantic role labeling
Kristina Toutanova and Aria Haghighi and Christopher D. Manning
2005
Association for Computational Linguistics (ACL)
Jiwei Li, Minh-Thang Luong and Dan Jurafsky. 2015.
A Hierarchical Neural Autoencoder for Paragraphs and Documents.
Association for Computational Linguistics (ACL).
[paper, bib]
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Li , Jiwei and Luong , Minh-Thang and Jurafsky , Dan
2015
Association for Computational Linguistics (ACL)
Bill MacCartney and Christopher D. Manning. 2009.
An extended model of natural logic.
International Conference on Computational Semantics (IWCS).
[paper, bib]
An extended model of natural logic
Bill MacCartney and Christopher D. Manning
2009
International Conference on Computational Semantics (IWCS)
Thad Hughes and Daniel Ramage. 2007.
Lexical Semantic Relatedness with Random Graph Walks.
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).
[paper, bib]
Lexical Semantic Relatedness with Random Graph Walks
Hughes , Thad and Ramage , Daniel
2007
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Marta Recasens, Marie-Catherine de Marneffe and Christopher Potts. 2013.
The Life and Death of Discourse Entities: Identifying Singleton Mentions.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
The Life and Death of Discourse Entities: Identifying Singleton Mentions
Marta Recasens and Marie-Catherine { de Marneffe } and Christopher Potts
2013
North American Association for Computational Linguistics (NAACL)
Erik Jones, Robin Jia, Aditi Raghunathan and Percy Liang. 2020.
Robust Encodings: A Framework for Combating Adversarial Typos.
Association for Computational Linguistics (ACL).
[paper, bib]
Robust Encodings: A Framework for Combating Adversarial Typos
Erik Jones and Robin Jia and Aditi Raghunathan and Percy Liang
2020
Association for Computational Linguistics (ACL)
Yun-Hsuan Sung and Dan Jurafsky. 2009.
Hidden Conditional Random Fields for Phone Recognition.
IEEE Automatic Speech Recognition and Understanding Workshop.
[paper, bib]
Hidden Conditional Random Fields for Phone Recognition
Yun-Hsuan Sung and Dan Jurafsky
2009
IEEE Automatic Speech Recognition and Understanding Workshop
Sameer Pradhan, Honglin Sun, Wayne Ward, James Martin and Daniel Jurafsky. 2004.
Parsing arguments of nominalizations in English and Chinese.
NAACL-HLT.
[paper, bib]
Parsing arguments of nominalizations in English and Chinese
Sameer Pradhan and Honglin Sun and Wayne Ward and James Martin and Daniel Jurafsky
2004
NAACL-HLT
Abigail See, Peter J Liu and Christopher D Manning. 2017.
Get To The Point: Summarization with Pointer-Generator Networks.
Association of Computational Linguistics (ACL).
[paper, bib]
Get To The Point: Summarization with Pointer-Generator Networks
See , Abigail and Liu , Peter J and Manning , Christopher D
2017
Association of Computational Linguistics (ACL)
Timothy Dozat, Peng Qi and Christopher D. Manning. 2017.
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.
[paper, bib]
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Dozat , Timothy and Qi , Peng and Manning , Christopher D.
2017
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Jonathan Berant, Andrew Chou, Roy Frostig and Percy Liang. 2013.
Semantic Parsing on Freebase from Question-Answer Pairs.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Semantic Parsing on Freebase from Question-Answer Pairs
Berant , Jonathan and Andrew Chou and Roy Frostig and Percy Liang
2013
Empirical Methods in Natural Language Processing (EMNLP)
Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer, Daniel Ramage, Chloé Kiddon and Christopher D. Manning. 2007.
Aligning semantic graphs for textual inference and machine reading.
AAAI Spring Symposium at Stanford.
[paper, bib]
Aligning semantic graphs for textual inference and machine reading
Marie-Catherine de Marneffe and Trond Grenager and Bill MacCartney and Daniel Cer and Daniel Ramage and Chloé Kiddon and Christopher D. Manning
2007
AAAI Spring Symposium at Stanford
Arun Tejasvi Chaganty, Ashwin Pradeep Paranjape, Percy Liang and Christopher D. Manning. 2017.
Importance sampling for unbiased on-demand evaluation of knowledge base population.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Importance sampling for unbiased on-demand evaluation of knowledge base population
Arun Tejasvi Chaganty and Ashwin Pradeep Paranjape and Percy Liang and Christopher D. Manning
2017
Empirical Methods in Natural Language Processing (EMNLP)
Eldar D Abraham, Karel D'Oosterlinck, Amir Feder, Yair Gat, Atticus Geiger, Christopher Potts, Roi Reichart and Zhengxuan Wu. 2022.
CEBaB: Estimating the causal effects of real-world concepts on NLP model behavior.
Advances in Neural Information Processing Systems.
[paper, bib]
CEBaB: Estimating the causal effects of real-world concepts on NLP model behavior
Abraham , Eldar D and D'Oosterlinck , Karel and Feder , Amir and Gat , Yair and Geiger , Atticus and Potts , Christopher and Reichart , Roi and Wu , Zhengxuan
2022
Advances in Neural Information Processing Systems
Alex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy and Noah Goodman. 2022.
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision.
Neural Information Processing Systems Track on Datasets and Benchmarks.
[paper, bib]
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision
Alex Tamkin and Gaurab Banerjee and Mohamed Owda and Vincent Liu and Shashank Rammoorthy and Noah Goodman
2022
Neural Information Processing Systems Track on Datasets and Benchmarks
Ramesh Nallapati, Daniel McFarland and Christopher D. Manning. 2011.
Topic F low Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents.
Journal of Machine Learning Research Workshop and Conference Proceedings.
[paper, bib]
Topic F low Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Nallapati , Ramesh and Daniel McFarland and Manning , Christopher D.
2011
Journal of Machine Learning Research Workshop and Conference Proceedings
Robert J. Podesva, Patrick Callier, Rob Voigt and Dan Jurafsky. 2015.
The Connection Between Smiling And GOAT Fronting: Embodied Affect In Sociophonetic Variation.
International Congress of Phonetic Sciences.
[paper, bib]
The Connection Between Smiling And GOAT Fronting: Embodied Affect In Sociophonetic Variation
Podesva , Robert J. and Patrick Callier and Rob Voigt and Dan Jurafsky
2015
International Congress of Phonetic Sciences
Will Monroe and Christopher Potts. 2015.
Learning in the Rational Speech Acts Model.
Amsterdam Colloquium.
[paper, bib]
Learning in the Rational Speech Acts Model
Monroe , Will and Potts , Christopher
2015
Amsterdam Colloquium
Jenny Rose Finkel and Christopher D. Manning. 2009.
Joint Parsing and Named Entity Recognition.
North American Association of Computational Linguistics (NAACL).
[paper, bib]
Joint Parsing and Named Entity Recognition
Jenny Rose Finkel and Christopher D. Manning
2009
North American Association of Computational Linguistics (NAACL)
Siva Reddy, Oscar Tackstrom, Slav Petrov, Mark Steedman and Mirella Lapata. 2017.
Universal Semantic Parsing.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Universal Semantic Parsing
Siva Reddy and Oscar Tackstrom and Slav Petrov and Mark Steedman and Mirella Lapata
2017
Empirical Methods in Natural Language Processing (EMNLP)
Jenny Rose Finkel and Christopher D. Manning. 2008.
Enforcing Transitivity in Coreference Resolution.
Association for Computational Linguistics (ACL).
[paper, bib]
Enforcing Transitivity in Coreference Resolution
Jenny Rose Finkel and Christopher D. Manning
2008
Association for Computational Linguistics (ACL)
Shikhar Murty, Tatsunori B Hashimoto and Christopher D Manning. 2021.
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
Murty , Shikhar and Hashimoto , Tatsunori B and Manning , Christopher D
2021
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Shyamal Buch, Li Fei-Fei and Noah D. Goodman. 2021.
Neural Event Semantics for Grounded Language Understanding.
Transactions of the Association for Computational Linguistics (TACL).
[paper, bib]
Neural Event Semantics for Grounded Language Understanding
Shyamal Buch and Li Fei-Fei and Noah D. Goodman
2021
Transactions of the Association for Computational Linguistics (TACL)
Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, Christopher Potts, Thomas Demeester and Chris Develder. 2023.
CAW-coref: Conjunction-Aware Word-level Coreference Resolution.
arXiv preprint arXiv:2310.06165.
[paper, bib]
CAW-coref: Conjunction-Aware Word-level Coreference Resolution
D'Oosterlinck , Karel and Bitew , Semere Kiros and Papineau , Brandon and Potts , Christopher and Demeester , Thomas and Develder , Chris
2023
arXiv preprint arXiv:2310.06165
Sepandar D. Kamvar, Dan Klein and Christopher D. Manning. 2003.
Spectral Learning.
IJCAI.
[paper, bib]
Spectral Learning
Sepandar D. Kamvar and Dan Klein and Christopher D. Manning
2003
IJCAI
Valentin I. Spitkovsky and Angel X. Chang. 2012.
A Cross-Lingual Dictionary for E nglish W ikipedia Concepts.
Language Resources and Evaluation (LREC).
[paper, bib]
A Cross-Lingual Dictionary for E nglish W ikipedia Concepts
Spitkovsky , Valentin I. and Chang , Angel X.
2012
Language Resources and Evaluation (LREC)
Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah Goodman and Jiajun Wu. 2022.
CLEVRER-Humans: Describing Physical and Causal Events the Human Way.
Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track.
[paper, bib]
CLEVRER-Humans: Describing Physical and Causal Events the Human Way
Mao , Jiayuan and Yang , Xuelin and Zhang , Xikun and Goodman , Noah and Wu , Jiajun
2022
Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Mike Mintz, Steven Bills, Rion Snow and Dan Jurafsky. 2009.
Distant supervision for relation extraction without labeled data.
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP).
[paper, bib]
Distant supervision for relation extraction without labeled data
Mike Mintz and Steven Bills and Rion Snow and Dan Jurafsky
2009
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)
Spence Green, Sida Wang, Jason Chuang, Jeffrey Heer, Sebastian Schuster and Christopher D. Manning. 2014.
Human Effort and Machine Learnability in Computer Aided Translation.
EMNLP.
[paper, bib]
Human Effort and Machine Learnability in Computer Aided Translation
Spence Green and Sida Wang and Jason Chuang and Jeffrey Heer and Sebastian Schuster and Christopher D. Manning
2014
EMNLP
Dan Klein and Christopher D. Manning. 2001.
Parsing and Hypergraphs.
7th International Workshop on Parsing Technologies (IWPT-2001).
[paper, bib]
Parsing and Hypergraphs
Dan Klein and Christopher D. Manning
2001
7th International Workshop on Parsing Technologies (IWPT-2001)
Kristina Toutanova and Robert C. Moore. 2002.
Pronunciation Modeling for Improved Spelling Correction.
40th Meeting of the Association for Computational Linguistics (ACL 2002).
[paper, bib]
Pronunciation Modeling for Improved Spelling Correction
Kristina Toutanova and Robert C. Moore
2002
40th Meeting of the Association for Computational Linguistics (ACL 2002)
Kevin Clark, Minh-Thang Luong, Quoc V. Le and Christopher D. Manning. 2020.
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.
ICLR.
[paper, bib]
ELECTRA : Pre-training Text Encoders as Discriminators Rather Than Generators
Kevin Clark and Minh-Thang Luong and Quoc V. Le and Christopher D. Manning
2020
ICLR
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2012.
Three Dependency-and-Boundary Models for Grammar Induction.
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).
[paper, bib]
Three Dependency-and-Boundary Models for Grammar Induction
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2012
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
William Held, Dan Iter and Dan Jurafsky. 2021.
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference
Held , William and Iter , Dan and Jurafsky , Dan
2021
Empirical Methods in Natural Language Processing (EMNLP)
Spence Green, Jason Chuang, Jeffrey Heer and Christopher D. Manning. 2014.
Predictive Translation Memory: A Mixed-Initiative System for Human Language Translation.
UIST.
[paper, bib]
Predictive Translation Memory : A Mixed-Initiative System for Human Language Translation
Spence Green and Jason Chuang and Jeffrey Heer and Christopher D. Manning
2014
UIST
Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze and Christopher D. Manning. 2012.
Entity Clustering Across Languages.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Entity Clustering Across Languages
Green , Spence and Andrews , Nicholas and Gormley , Matthew R. and Dredze , Mark and Christopher D. Manning
2012
North American Association for Computational Linguistics (NAACL)
Robin Jia, Cliff Wong and Hoifung Poon. 2019.
Document-Level N-ary Relation Extraction with Multiscale Representation Learning.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia and Cliff Wong and Hoifung Poon
2019
North American Association for Computational Linguistics (NAACL)
Rob Voigt and Dan Jurafsky. 2013.
Tradition and Modernity in 20th Century Chinese Poetry.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT) Workshop on Computational Linguistics for Literature.
[paper, bib]
Tradition and Modernity in 20th Century Chinese Poetry
Voigt , Rob and Jurafsky , Dan
2013
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) Workshop on Computational Linguistics for Literature
Trond Grenager and Christopher D. Manning. 2006.
Unsupervised Discovery of a Statistical Verb Lexicon.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Unsupervised Discovery of a Statistical Verb Lexicon
Trond Grenager and Christopher D. Manning
2006
Empirical Methods in Natural Language Processing (EMNLP)
Sepandar D. Kamvar, Taher H. Haveliwala, Christopher D. Manning and Gene H. Golub. 2003.
Exploiting the Block Structure of the Web for Computing PageRank.
Stanford University Technical Report.
[paper, bib]
Exploiting the Block Structure of the Web for Computing PageRank
Sepandar D. Kamvar and Taher H. Haveliwala and Christopher D. Manning and Gene H. Golub
2003
Stanford University Technical Report
Marta Recasens, Matthew Can and Dan Jurafsky. 2013.
Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Same Referent , Different Words: Unsupervised Mining of Opaque Coreferent Mentions
Marta Recasens and Matthew Can and Dan Jurafsky
2013
North American Association for Computational Linguistics (NAACL)
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald and Dan Jurafsky. 2020.
With Little Power Comes Great Responsibility.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
With Little Power Comes Great Responsibility
Card , Dallas and Henderson , Peter and Khandelwal , Urvashi and Jia , Robin and Mahowald , Kyle and Jurafsky , Dan
2020
Empirical Methods in Natural Language Processing (EMNLP)
Abigail See, Stephen Roller, Douwe Kiela and Jason Weston. 2019.
What makes a good conversation? How controllable attributes affect human judgments.
North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
What makes a good conversation? How controllable attributes affect human judgments
Abigail See and Stephen Roller and Douwe Kiela and Jason Weston
2019
North American Chapter of the Association for Computational Linguistics (NAACL)
Megha Srivastava, Noah Goodman and Dorsa Sadigh. 2023.
Generating Language Corrections for Teaching Physical Control Tasks.
International Conference on Machine Learning (ICML).
[paper, bib]
Generating Language Corrections for Teaching Physical Control Tasks
Srivastava , Megha and Goodman , Noah and Sadigh , Dorsa
2023
International Conference on Machine Learning (ICML)
Miriam Corris, Christopher D. Manning, Susan Poetsch and Jane Simpson. 2002.
Dictionaries and Endangered Languages.
Language Endangerment and Language Maintenance.
[paper, bib]
Dictionaries and Endangered Languages
Miriam Corris and Christopher D. Manning and Susan Poetsch and Jane Simpson
2002
Language Endangerment and Language Maintenance
Sida I. Wang and Christopher D. Manning. 2013.
Fast dropout training.
International Conference on Machine Learning (ICML).
[paper, bib]
Fast dropout training
Wang , Sida I. and Manning , Christopher D.
2013
International Conference on Machine Learning (ICML)
Robert Munro. 2010.
Crowdsourced Translation For Emergency Response In Haiti: The Global Collaboration Of Local Knowledge.
AMTA Workshop on Collaborative Crowdsourcing for Translation .
[paper, bib]
Crowdsourced Translation For Emergency Response In Haiti: The Global Collaboration Of Local Knowledge
Robert Munro
2010
{ AMTA Workshop on Collaborative Crowdsourcing for Translation }
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2011.
Punctuation: Making a Point in Unsupervised Dependency Parsing.
Computational Natural Language Learning (CoNLL).
[paper, bib]
Punctuation: Making a Point in Unsupervised Dependency Parsing
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2011
Computational Natural Language Learning (CoNLL)
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts and Adina Williams. 2021.
Dynabench: Rethinking Benchmarking in NLP.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela and Max Bartolo and Yixin Nie and Divyansh Kaushik and Atticus Geiger and Zhengxuan Wu and Bertie Vidgen and Grusha Prasad and Amanpreet Singh and Pratik Ringshia and Zhiyi Ma and Tristan Thrush and Sebastian Riedel and Zeerak Waseem and Pontus Stenetorp and Robin Jia and Mohit Bansal and Christopher Potts and Adina Williams
2021
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Jenny Hong, Catalin Voss and Christopher Manning. 2021.
Challenges for Information Extraction from Dialogue in Criminal Law.
Proceedings of the 1st Workshop on NLP for Positive Impact.
[paper, bib]
Challenges for Information Extraction from Dialogue in Criminal Law
Hong , Jenny and Voss , Catalin and Manning , Christopher
2021
Proceedings of the 1st Workshop on NLP for Positive Impact
Alex Tamkin, Dan Jurafsky and Noah Goodman. 2020.
Language Through a Prism: A Spectral Approach for Multiscale Language Representations.
Neural Information Processing Systems (NeurIPS 2020).
[paper, bib]
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
Tamkin , Alex and Jurafsky , Dan and Goodman , Noah
2020
Neural Information Processing Systems (NeurIPS 2020)
Joern Wuebker, Spence Green, Sa\v s a Hasan John DeNero and Minh-Thang Luong. 2016.
Models and Inference for Prefix-Constrained Machine Translation.
Association for Computational Linguistics (ACL).
[paper, bib]
Models and Inference for Prefix-Constrained Machine Translation
Joern Wuebker and Spence Green and John DeNero , Sa\v { s } a Hasan and Minh-Thang Luong
2016
Association for Computational Linguistics (ACL)
Sebastian Riedel, David McClosky, Mihai Surdeanu, Andrew McCallum and Christopher D. Manning. 2011.
Model Combination for Event Extraction in BioNLP 2011.
BioNLP Workshop.
[paper, bib]
Model Combination for Event Extraction in BioNLP 2011
Sebastian Riedel and David McClosky and Mihai Surdeanu and Andrew McCallum and Christopher D. Manning
2011
BioNLP Workshop
Panupong Pasupat and Percy Liang. 2015.
Compositional Semantic Parsing on Semi-Structured Tables.
Association for Computational Linguistics (ACL).
[paper, bib]
Compositional Semantic Parsing on Semi-Structured Tables
Panupong Pasupat and Percy Liang
2015
Association for Computational Linguistics (ACL)
John Hewitt and Christopher D. Manning. 2019.
A Structural Probe for Finding Syntax in Word Representations.
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL).
[paper, bib]
A Structural Probe for Finding Syntax in Word Representations
Hewitt , John and Manning , Christopher D.
2019
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)
Shipra Dingare, Jenny Finkel, Malvina Nissim, Christopher Manning and Claire Grover. 2004.
A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations.
The 2004 BioLink meeting: Linking Literature, Information and Knowledge for Biology at ISMB 2004.
[paper, bib]
A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations
Shipra Dingare and Jenny Finkel and Malvina Nissim and Christopher Manning and Claire Grover
2004
The 2004 BioLink meeting: Linking Literature , Information and Knowledge for Biology at ISMB 2004
Spence Green, Jeffrey Heer and Christopher D. Manning. 2013.
The efficacy of human post-editing for language translation.
SIGCHI Conference on Human Factors in Computing Systems.
[paper, bib]
The efficacy of human post-editing for language translation
Green , Spence and Heer , Jeffrey and Manning , Christopher D.
2013
SIGCHI Conference on Human Factors in Computing Systems
Steven Bethard, Hong Yu, Ashley Thornton, Vasieleios Hativassiloglou and Daniel Jurafsky. 2004.
Automatic extraction of option propositions and their holders.
AAAI Spring Symposium on Exploring Attitude and Affect in Text.
[paper, bib]
Automatic extraction of option propositions and their holders
Steven Bethard and Hong Yu and Ashley Thornton and Vasieleios Hativassiloglou and Daniel Jurafsky
2004
AAAI Spring Symposium on Exploring Attitude and Affect in Text
Daniel Ramage, Evan Rosen, Jason Chuang, Christopher D. Manning and Daniel A. McFarland. 2009.
Topic Modeling for the Social Sciences.
Neural Information Processing Systems (NIPS) Workshop on Applications for Topic Models: Text and Beyond.
[paper, bib]
Topic Modeling for the Social Sciences
Ramage , Daniel and Rosen , Evan and Chuang , Jason and Manning , Christopher D. and McFarland , Daniel A.
2009
Neural Information Processing Systems (NIPS) Workshop on Applications for Topic Models: Text and Beyond
Gabor Angeli, Melvin Johnson Premkumar and Christopher D. Manning. 2015.
Leveraging Linguistic Structure For Open Domain Information Extraction.
Association for Computational Linguistics (ACL).
[paper, bib]
Leveraging Linguistic Structure For Open Domain Information Extraction
Gabor Angeli and Melvin Johnson Premkumar and Christopher D. Manning
2015
Association for Computational Linguistics (ACL)
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati and Christopher D. Manning. 2012.
Multi-instance Multi-label Learning for Relation Extraction.
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).
[paper, bib]
Multi-instance Multi-label Learning for Relation Extraction
Surdeanu , Mihai and Julie Tibshirani and Ramesh Nallapati and Christopher D. Manning
2012
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Kawin Ethayarajh. 2020.
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds.
Association of Computational Linguistics (ACL).
[paper, bib]
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
Ethayarajh , Kawin
2020
Association of Computational Linguistics (ACL)
Trond Grenager, Dan Klein and Christopher D. Manning. 2005.
Unsupervised learning of field segmentation models for information extraction.
Association for Computational Linguistics (ACL).
[paper, bib]
Unsupervised learning of field segmentation models for information extraction
Trond Grenager and Dan Klein and Christopher D. Manning
2005
Association for Computational Linguistics (ACL)
Justine Kao and Dan Jurafsky. 2012.
A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry.
North American Association for Computational Linguistics (NAACL) Workshop on Computational Linguistics for Literature .
[paper, bib]
A Computational Analysis of Style , Affect , and Imagery in Contemporary Poetry
Justine Kao and Dan Jurafsky
2012
{ North American Association for Computational Linguistics (NAACL) Workshop on Computational Linguistics for Literature }
Robin Jia and Percy Liang. 2016.
Data Recombination for Neural Semantic Parsing.
Association for Computational Linguistics (ACL).
[paper, bib]
Data Recombination for Neural Semantic Parsing
Robin Jia and Percy Liang
2016
Association for Computational Linguistics (ACL)
Anna Rafferty and Christopher D. Manning. 2008.
Parsing Three German Treebanks: Lexicalized and Unlexicalized Baselines.
Workshop on Parsing German.
[paper, bib]
Parsing Three German Treebanks: Lexicalized and Unlexicalized Baselines
Rafferty , Anna and Manning , Christopher D.
2008
Workshop on Parsing German
Jason M. Brenier, Daniel Cer and Daniel Jurafsky.. 2005.
The Detection of Emphatic Words Using Acoustic and Lexical Features.
EUROSPEECH.
[paper, bib]
The Detection of Emphatic Words Using Acoustic and Lexical Features
Jason M. Brenier and Daniel Cer and Daniel Jurafsky.
2005
EUROSPEECH
Drew A Hudson and Christopher D Manning. 2007.
Learning by abstraction: The neural state machine.
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada.
[paper, bib]
Learning by abstraction: The neural state machine
Hudson , Drew A and Manning , Christopher D
2007
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019 , NeurIPS 2019 , December 8-14 , 2019 , Vancouver , BC , Canada
Katrin Erk and Sebastian Pado. 2008.
A Structured Vector Space Model for Word Meaning in Context.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
A Structured Vector Space Model for Word Meaning in Context
Katrin Erk and Sebastian Pado
2008
Empirical Methods in Natural Language Processing (EMNLP)
Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi and Ellen Riloff. 2016.
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Distinguishing Past , On-going , and Future Events: The EventStatus Corpus
Huang , Ruihong and Cases , Ignacio and Jurafsky , Dan and Condoravdi , Cleo and Riloff , Ellen
2016
Empirical Methods in Natural Language Processing (EMNLP)
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, Jim Martin and Dan Jurafsky. 2005.
Semantic Role Labeling Using Different Syntactic Views.
Association for Computational Linguistics (ACL).
[paper, bib]
Semantic Role Labeling Using Different Syntactic Views
Sameer Pradhan and Wayne Ward and Kadri Hacioglu and Jim Martin and Dan Jurafsky
2005
Association for Computational Linguistics (ACL)
Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Halevy and Diyi Yang. 2023.
N orm B ank: A Knowledge Bank of Situational Social Norms.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
[paper, bib]
N orm B ank: A Knowledge Bank of Situational Social Norms
Ziems , Caleb and Dwivedi-Yu , Jane and Wang , Yi-Chia and Halevy , Alon and Yang , Diyi
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland and Xiang Ren. 2020.
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora.
Findings of the Association for Computational Linguistics: EMNLP 2020.
[paper, bib]
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
Hancheng Cao and Mengjie Cheng and Zhepeng Cen and Daniel A. McFarland and Xiang Ren
2020
Findings of the Association for Computational Linguistics: EMNLP 2020
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton A. Earnshaw, Imran S. Haque, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn and Percy Liang. 2021.
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
International Conference on Machine Learning (ICML).
[paper, bib]
WILDS : A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh and Shiori Sagawa and Henrik Marklund and Sang Michael Xie and Marvin Zhang and Akshay Balsubramani and Weihua Hu and Michihiro Yasunaga and Richard Lanas Phillips and Irena Gao and Tony Lee and Etienne David and Ian Stavness and Wei Guo and Berton A. Earnshaw and Imran S. Haque and Sara Beery and Jure Leskovec and Anshul Kundaje and Emma Pierson and Sergey Levine and Chelsea Finn and Percy Liang
2021
International Conference on Machine Learning (ICML)
Samuel R. Bowman, Christopher D. Manning and Christopher Potts. 2015.
Tree-Structured Composition in Neural Networks without Tree-Structured Architectures.
Proceedings of the 2015 NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches.
[paper, bib]
Tree-Structured Composition in Neural Networks without Tree-Structured Architectures
Bowman , Samuel R. and Manning , Christopher D. and Potts , Christopher
2015
Proceedings of the 2015 NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie and Christopher D. Manning. 2024.
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval.
International Conference on Learning Representations (ICLR).
[paper, bib]
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Sarthi , Parth and Abdullah , Salman and Tuli , Aditi and Khanna , Shubh and Goldie , Anna and Manning , Christopher D.
2024
International Conference on Learning Representations (ICLR)
Elisa Kreiss, Cynthia Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris and Christopher Potts. 2022.
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Kreiss , Elisa and Bennett , Cynthia and Hooshmand , Shayan and Zelikman , Eric and Ringel Morris , Meredith and Potts , Christopher
2022
Empirical Methods in Natural Language Processing (EMNLP)
Stephan Oepen, Dan Flickinger, Kristina Toutanova and Christopher D. Manning. 2002.
LinGO Redwoods. A Rich and Dynamic Treebank for HPSG.
First Workshop on Treebanks and Linguistic Theories (TLT2002).
[paper, bib]
LinGO Redwoods. A Rich and Dynamic Treebank for HPSG
Stephan Oepen and Dan Flickinger and Kristina Toutanova and Christopher D. Manning
2002
First Workshop on Treebanks and Linguistic Theories (TLT2002)
Robert Munro, Lucky Gunasekara, Stephanie Nevins, Lalith Polepeddi and Evan Rosen. 2012.
Tracking Epidemics with Natural Language Processing and Crowdsourcing.
2012 AAAI Spring Symposium Series.
[paper, bib]
Tracking Epidemics with Natural Language Processing and Crowdsourcing
Munro , Robert and Gunasekara , Lucky and Nevins , Stephanie and Polepeddi , Lalith and Rosen , Evan
2012
2012 AAAI Spring Symposium Series
Reid Pryzant, Sugato Basu and Kazoo Sone. 2018.
Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style.
Conference on Empirical Methods in Natural Language Processing (EMNLP) Interpretability Workshop.
[paper, bib]
Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style
Pryzant , Reid and Basu , Sugato and Sone , Kazoo
2018
Conference on Empirical Methods in Natural Language Processing (EMNLP) Interpretability Workshop
Graham Todd, Catalin Voss and Jenny Hong. 2020.
Unsupervised Anomaly Detection in Parole Hearings using Language Models.
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science.
[paper, bib]
Unsupervised Anomaly Detection in Parole Hearings using Language Models
Todd , Graham and Voss , Catalin and Hong , Jenny
2020
Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science
Eneko Agirre, Angel X. Chang, Daniel S. Jurafsky, Christopher D. Manning, Valentin I. Spitkovsky and Eric Yeh. 2009.
Stanford-UBC at TAC-KBP.
Text Analysis Conference (TAC).
[paper, bib]
Stanford-UBC at TAC-KBP
Agirre , Eneko and Chang , Angel X. and Jurafsky , Daniel S. and Manning , Christopher D. and Spitkovsky , Valentin I. and Yeh , Eric
2009
Text Analysis Conference (TAC)
Xinran Zhao, Shikhar Murty and Christopher D Manning. 2022.
On Measuring the Intrinsic Few-Shot Hardness of Datasets.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
On Measuring the Intrinsic Few-Shot Hardness of Datasets
Zhao , Xinran and Murty , Shikhar and Manning , Christopher D
2022
Empirical Methods in Natural Language Processing (EMNLP)
Dan Klein and Christopher D. Manning. 2002.
A Generative Constituent-Context Model for Improved Grammar Induction.
40th Annual Meeting of the Association for Computational Linguistics (ACL).
[paper, bib]
A Generative Constituent-Context Model for Improved Grammar Induction
Dan Klein and Christopher D. Manning
2002
40th Annual Meeting of the Association for Computational Linguistics (ACL)
Kevin Clark, Minh-Thang Luong, Quoc V. Le and Christopher D. Manning. 2020.
Pre-Training Transformers as Energy-Based Cloze Models.
EMNLP.
[paper, bib]
Pre-Training Transformers as Energy-Based Cloze Models
Kevin Clark and Minh-Thang Luong and Quoc V. Le and Christopher D. Manning
2020
EMNLP
Kristina Toutanova, Mark Mitchell and Christopher D. Manning. 2003.
Optimizing Local Probability Models for Statistical Parsing.
14th European Conference on Machine Learning (ECML 2003).
[paper, bib]
Optimizing Local Probability Models for Statistical Parsing
Kristina Toutanova and Mark Mitchell and Christopher D. Manning
2003
14th European Conference on Machine Learning (ECML 2003)
Dan Klein and Christopher D. Manning. 2002.
Natural Language Grammar Induction using a Constituent-Context Model.
Advances in Neural Information Processing Systems (NIPS).
[paper, bib]
Natural Language Grammar Induction using a Constituent-Context Model
Dan Klein and Christopher D. Manning
2002
Advances in Neural Information Processing Systems (NIPS)
Shikhar Murty, Pang Wei Koh and Percy Liang. 2020.
ExpBERT: Representation Engineering with Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
[paper, bib]
ExpBERT: Representation Engineering with Natural Language Explanations
Murty , Shikhar and Koh , Pang Wei and Liang , Percy
2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Juncen Li, Robin Jia, He He and Percy Liang. 2018.
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Delete , Retrieve , Generate: A Simple Approach to Sentiment and Style Transfer
Juncen Li and Robin Jia and He He and Percy Liang
2018
North American Association for Computational Linguistics (NAACL)
Samuel Bowman and Harshit Chopra. 2012.
Automatic animacy classification.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT) Student Research Workshop.
[paper, bib]
Automatic animacy classification
Bowman , Samuel and Chopra , Harshit
2012
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) Student Research Workshop
Reid Pryzant, Denny Britz and Quoc Le. 2017.
Effective Domain Mixing for Neural Machine Translation.
Second Conference on Machine Translation (WMT).
[paper, bib]
Effective Domain Mixing for Neural Machine Translation
Pryzant , Reid and Britz , Denny and Le , Quoc
2017
Second Conference on Machine Translation (WMT)
Dan Jurafsky, Rajesh Ranganath and Dan McFarland. 2009.
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation
Dan Jurafsky and Rajesh Ranganath and Dan McFarland
2009
North American Association for Computational Linguistics (NAACL)
Yuta Koreeda and Christopher Manning. 2021.
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser.
Proceedings of the Natural Legal Language Processing Workshop 2021.
[paper, bib]
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser
Koreeda , Yuta and Manning , Christopher
2021
Proceedings of the Natural Legal Language Processing Workshop 2021
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton and Christopher D. Manning. 2020.
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations.
[paper, bib]
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Qi , Peng and Zhang , Yuhao and Zhang , Yuhui and Bolton , Jason and Manning , Christopher D.
2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Michael Hahn. 2020.
Theoretical Limitations of Self-Attention in Neural Sequence Models.
Transactions of the Association for Computational Linguistics.
[paper, bib]
Theoretical Limitations of Self-Attention in Neural Sequence Models
Hahn , Michael
2020
Transactions of the Association for Computational Linguistics
Robert Munro and Christopher D. Manning. 2012.
Accurate Unsupervised Joint Named-Entity Extraction from Unaligned Parallel Text.
Named Entities Workshop (NEWS) .
[paper, bib]
Accurate Unsupervised Joint Named-Entity Extraction from Unaligned Parallel Text
Robert Munro and Christopher D. Manning
2012
{ Named Entities Workshop (NEWS) }
Michihiro Yasunaga and Percy Liang. 2021.
Break-It-Fix-It: Unsupervised Learning for Program Repair.
International Conference on Machine Learning (ICML).
[paper, bib]
Break-It-Fix-It : Unsupervised Learning for Program Repair
Michihiro Yasunaga and Percy Liang
2021
International Conference on Machine Learning (ICML)
Ramesh Nallapati and Christopher D. Manning. 2008.
Legal Docket Classification: W here Machine Learning Stumbles.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Legal Docket Classification: W here Machine Learning Stumbles
Nallapati , Ramesh and Manning , Christopher D.
2008
Empirical Methods in Natural Language Processing (EMNLP)
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei and Christopher D. Manning. 2021.
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP).
[paper, bib]
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
Siddharth Karamcheti and Ranjay Krishna and Li Fei-Fei and Christopher D. Manning
2021
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)
Marie-Catherine de Marneffe, Miriam Connor, Natalia Silveira, Samuel R. Bowman, Timothy Dozat and Christopher D. Manning. 2013.
More constructions, more genres: Extending Stanford Dependencies.
Proceedings of the 2013 International Conference on Dependency Linguistics.
[paper, bib]
More constructions , more genres: Extending Stanford Dependencies
Marie-Catherine de Marneffe and Miriam Connor and Natalia Silveira and Samuel R. Bowman and Timothy Dozat and Christopher D. Manning
2013
Proceedings of the 2013 International Conference on Dependency Linguistics
Gabor Angeli, Sonal Gupta, Melvin Johnson Premkumar, Christopher D. Manning, Christopher R é, Julie Tibshirani, Jean Y. Wu, Sen Wu and Ce Zhang. 2015.
Stanford's Distantly Supervised Slot Filling Systems for KBP 2014.
TAC-KBP.
[paper, bib]
Stanford's Distantly Supervised Slot Filling Systems for KBP 2014
Gabor Angeli and Sonal Gupta and Melvin Johnson Premkumar and Christopher D. Manning and Christopher R { \'e } and Julie Tibshirani and Jean Y. Wu and Sen Wu and Ce Zhang
2015
TAC-KBP
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola and Christopher D. Manning. 2019.
Do Massively Pretrained Language Models Make Better Storytellers?
Computational Natural Language Learning (CoNLL).
[paper, bib]
Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See and Aneesh Pappu and Rohun Saxena and Akhila Yerukola and Christopher D. Manning
2019
Computational Natural Language Learning (CoNLL)
Mihail Eric, Lakshmi Krishnan, Francois Charette and Christopher D. Manning. 2017.
Key-Value Retrieval Networks for Task-Oriented Dialogue.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue.
[paper, bib]
Key-Value Retrieval Networks for Task-Oriented Dialogue
Eric , Mihail and Krishnan , Lakshmi and Charette , Francois and Manning , Christopher D.
2017
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Sebastian Schuster and Christopher D. Manning. 2016.
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks.
Language Resources and Evaluation (LREC).
[paper, bib]
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks
Schuster , Sebastian and Manning , Christopher D.
2016
Language Resources and Evaluation (LREC)
Michihiro Yasunaga, Jure Leskovec and Percy Liang. 2021.
LM-Critic: Language Models for Unsupervised Grammatical Error Correction.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
LM-Critic : Language Models for Unsupervised Grammatical Error Correction
Michihiro Yasunaga and Jure Leskovec and Percy Liang
2021
Empirical Methods in Natural Language Processing (EMNLP)
Kristina Toutanova, Penka Markova and Christopher Manning. 2004.
The Leaf Projection Path View of Parse Trees: Exploring String Kernels for HPSG Parse Selection.
EMNLP.
[paper, bib]
The Leaf Projection Path View of Parse Trees: Exploring String Kernels for HPSG Parse Selection
Kristina Toutanova and Penka Markova and Christopher Manning
2004
EMNLP
Marie-Catherine de Marneffe, Bill MacCartney, Trond Grenager, Daniel Cer, Anna Rafferty and Christopher D. Manning. 2006.
Learning to distinguish valid textual entailments.
PASCAL Challenges Workshop.
[paper, bib]
Learning to distinguish valid textual entailments
Marie-Catherine de Marneffe and Bill MacCartney and Trond Grenager and Daniel Cer and Anna Rafferty and Christopher D. Manning
2006
PASCAL Challenges Workshop
Daniel A. McFarland, Dan Jurafsky and Craig Rawlings. 2013.
Making The Connection: Social Bonding In Courtship Situations.
American Journal of Sociology.
[paper, bib]
Making The Connection: Social Bonding In Courtship Situations
McFarland , Daniel A. and Jurafsky , Dan and Rawlings , Craig
2013
American Journal of Sociology
Volker Strom, Ani Nenkova, Robert Clark, Yolanda Vazquez-Alvarez, Jason Brenier, Simon King and Dan Jurafsky. 2007.
Modelling Prominence and Emphasis Improves Unit-Selection Synthesis.
Interspeech 2007.
[paper, bib]
Modelling Prominence and Emphasis Improves Unit-Selection Synthesis
Volker Strom and Ani Nenkova and Robert Clark and Yolanda Vazquez-Alvarez and Jason Brenier and Simon King and Dan Jurafsky
2007
Interspeech 2007
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu and Christopher Potts. 2023.
Rigorously Assessing Natural Language Explanations of Neurons.
The Sixth Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP @ EMNLP).
[paper, bib]
Rigorously Assessing Natural Language Explanations of Neurons
Huang , Jing and Geiger , Atticus and D'Oosterlinck , Karel and Wu , Zhengxuan and Potts , Christopher
2023
The Sixth Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP @ EMNLP)
Anna A. Ivanova, John Hewitt and Noga Zaslavsky. 2021.
Probing artificial neural networks: insights from neuroscience.
ICLR Workshop: Can Findings About The Brain Improve AI Systems? (Brain2AI).
[paper, bib]
Probing artificial neural networks: insights from neuroscience
Anna A. Ivanova and John Hewitt and Noga Zaslavsky
2021
ICLR Workshop: Can Findings About The Brain Improve AI Systems? (Brain2AI)
Michael Levin, Stefan Krawczyk, Steven Bethard and Dan Jurafsky. 2012.
Citation-based bootstrapping for large-scale author disambiguation.
Journal of the American Society for Information Science and Technology.
[paper, bib]
Citation-based bootstrapping for large-scale author disambiguation
Michael Levin and Stefan Krawczyk and Steven Bethard , and Dan Jurafsky
2012
Journal of the American Society for Information Science and Technology
Angel X. Chang, Valentin I. Spitkovsky, Eneko Agirre and Christopher D. Manning. 2011.
Stanford-UBC Entity Linking at TAC-KBP, Again.
Text Analysis Conference (TAC).
[paper, bib]
Stanford- UBC Entity Linking at TAC - KBP , Again
Chang , Angel X. and Spitkovsky , Valentin I. and Agirre , Eneko and Manning , Christopher D.
2011
Text Analysis Conference (TAC)
Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Y. Ng and Dan Jurafsky. 2018.
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction
Ziang Xie and Guillaume Genthial and Stanley Xie and Andrew Y. Ng and Dan Jurafsky
2018
North American Association for Computational Linguistics (NAACL)
Michel Galley and Christopher D. Manning. 2009.
Quadratic-Time Dependency Parsing for Machine Translation.
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP).
[paper, bib]
Quadratic-Time Dependency Parsing for Machine Translation
Galley , Michel and Manning , Christopher D.
2009
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)
Angel X. Chang and Christopher D. Manning. 2012.
SUTIME: A Library for Recognizing and Normalizing Time Expressions.
8th International Conference on Language Resources and Evaluation (LREC 2012).
[paper, bib]
SUTIME : A Library for Recognizing and Normalizing Time Expressions
Chang , Angel X. and Manning , Christopher D.
2012
8th International Conference on Language Resources and Evaluation (LREC 2012)
Isabel Papadimitriou, Ethan A Chi, Richard Futrell and Kyle Mahowald. 2021.
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT.
Conference of the European Chapter of the Association for Computational Linguistics (EACL).
[paper, bib]
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT
Papadimitriou , Isabel and Chi , Ethan A and Futrell , Richard and Mahowald , Kyle
2021
Conference of the European Chapter of the Association for Computational Linguistics (EACL)
Taher H. Haveliwala and Sepandar D. Kamvar. 2003.
The Second Eigenvalue of the Google Matrix.
Stanford University Technical Report.
[paper, bib]
The Second Eigenvalue of the Google Matrix
Taher H. Haveliwala and Sepandar D. Kamvar
2003
Stanford University Technical Report
Mengqiu Wang, Wanxiang Che and Christopher D. Manning. 2013.
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition.
Association for Computational Linguistics (ACL).
[paper, bib]
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
Mengqiu Wang and Wanxiang Che and Christopher D. Manning
2013
Association for Computational Linguistics (ACL)
Adam Vogel and Dan Jurafsky. 2012.
He Said, She Said: Gender In The ACL Anthology.
Association for Computational Linguistics (ACL) Workshop on Rediscovering 50 Years of Discoveries .
[paper, bib]
He Said , She Said: Gender In The ACL Anthology
Adam Vogel and Dan Jurafsky
2012
{ Association for Computational Linguistics (ACL) Workshop on Rediscovering 50 Years of Discoveries }
Kristina Toutanova, Francine Chen, Kris Popat and Thomas Hofmann. 2001.
Text Classification in a Hierarchical Mixture Model for Small Training Sets.
Tenth International ACM Conference on Information and Knowledge Management (CIKM 2001).
[paper, bib]
Text Classification in a Hierarchical Mixture Model for Small Training Sets
Kristina Toutanova and Francine Chen and Kris Popat and Thomas Hofmann
2001
Tenth International ACM Conference on Information and Knowledge Management (CIKM 2001)
Diana MacLean, Sonal Gupta, Anna Lembke, Christopher D. Manning and Jeffrey Heer. 2015.
Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery.
Computer Supported Cooperative Work and Social Computing (CSCW).
[paper, bib]
Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery
Diana MacLean and Sonal Gupta and Anna Lembke and Christopher D. Manning and Jeffrey Heer
2015
Computer Supported Cooperative Work and Social Computing (CSCW)
Elmer Bernstam, Sepandar D. Kamvar, Funda Meric, John Dugan, Steven Chizek, Chris Stave, Olga Troyanskaya, Jeffrey Chang and Lawrence Fagan. 2001.
An Oncology Patient Interface to Medline.
37th Annual Meeting of the American Society of Clinical Oncology.
[paper, bib]
An Oncology Patient Interface to Medline
Elmer Bernstam and Sepandar D. Kamvar and Funda Meric and John Dugan and Steven Chizek and Chris Stave and Olga Troyanskaya and Jeffrey Chang and Lawrence Fagan
2001
37th Annual Meeting of the American Society of Clinical Oncology
Andrew Maas, Ziang Xie, Dan Jurafsky and Andrew Ng. 2015.
Lexicon-Free Conversational Speech Recognition with Neural Networks.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
Lexicon-Free Conversational Speech Recognition with Neural Networks
Maas , Andrew and Xie , Ziang and Jurafsky , Dan and Ng , Andrew
2015
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)
Minh-Thang Luong, Richard Socher and Christopher D. Manning. 2013.
Better Word Representations with Recursive Neural Networks for Morphology.
CoNLL.
[paper, bib]
Better Word Representations with Recursive Neural Networks for Morphology
Luong , Minh-Thang and Socher , Richard and Manning , Christopher D.
2013
CoNLL
David L.W. Hall, Daniel Jurafsky and Christopher D. Manning. 2008.
Studying the History of Ideas Using Topic Models.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Studying the History of Ideas Using Topic Models
David L.W. Hall and Daniel Jurafsky and Christopher D. Manning
2008
Empirical Methods in Natural Language Processing (EMNLP)
Kristina Toutanova, H. Tolga Ilhan and Christopher D. Manning. 2002.
Extensions to HMM-based Statistical Word Alignment Models.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Extensions to HMM-based Statistical Word Alignment Models
Kristina Toutanova and H. Tolga Ilhan and Christopher D. Manning
2002
Empirical Methods in Natural Language Processing (EMNLP)
Reid Pryzant, Diehl Martinez Richard, Nathan Dass, Sadao Kurohashi, Dan Jurafsky and Diyi Yang. 2020.
Automatically Neutralizing Subjective Bias in Text.
Association for the Advancement of Artificial Intelligence (AAAI).
[paper, bib]
Automatically Neutralizing Subjective Bias in Text
Pryzant , Reid and Richard , Diehl Martinez and Dass , Nathan and Kurohashi , Sadao and Jurafsky , Dan and Yang , Diyi
2020
Association for the Advancement of Artificial Intelligence (AAAI)
Bill MacCartney and Christopher D. Manning. 2008.
Modeling semantic containment and exclusion in natural language inference.
International Conference on Computational Linguistics (COLING).
[paper, bib]
Modeling semantic containment and exclusion in natural language inference
Bill MacCartney and Christopher D. Manning
2008
International Conference on Computational Linguistics (COLING)
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark and Christopher D. Manning. 2014.
Modeling Biological Processes for Reading Comprehension.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Modeling Biological Processes for Reading Comprehension
Jonathan Berant and Vivek Srikumar and Pei-Chun Chen and Abby Vander Linden and Brittany Harding and Brad Huang and Peter Clark and Christopher D. Manning
2014
Empirical Methods in Natural Language Processing (EMNLP)
Dan Klein. 2005.
The Unsupervised Learning of Natural Language Structure.
[paper, bib]
The Unsupervised Learning of Natural Language Structure
Klein , Dan
2005
Michihiro Yasunaga and Percy Liang. 2020.
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback.
International Conference on Machine Learning (ICML).
[paper, bib]
Graph-based , Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga and Percy Liang
2020
International Conference on Machine Learning (ICML)
Nathanael Chambers and Dan Jurafsky. 2008.
Jointly Combining Implicit Constraints Improves Temporal Ordering.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Jointly Combining Implicit Constraints Improves Temporal Ordering
Nathanael Chambers and Dan Jurafsky
2008
Empirical Methods in Natural Language Processing (EMNLP)
Jenny Finkel, Shipra Dingare, Huy Nguyen, Malvina Nissim, Christopher D. Manning and Gail Sinclair. 2004.
Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web.
Joint Workshop on Natural Language Processing in Biomedicine and its Applications at Coling 2004.
[paper, bib]
Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web
Jenny Finkel and Shipra Dingare and Huy Nguyen and Malvina Nissim and Christopher D. Manning and Gail Sinclair
2004
Joint Workshop on Natural Language Processing in Biomedicine and its Applications at Coling 2004
Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky. 2016.
Visualizing and understanding neural models in NLP.
North American Association for Computational Linguistics (NAACL)..
[paper, bib]
Visualizing and understanding neural models in NLP
Li , Jiwei and Chen , Xinlei and Hovy , Eduard and Jurafsky , Dan
2016
North American Association for Computational Linguistics (NAACL).
S Green, M Galley and C D Manning. 2010.
Improved Models of Distortion Cost for Statistical Machine Translation.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Improved Models of Distortion Cost for Statistical Machine Translation
Green , S and Galley , M and Manning , C D
2010
North American Association for Computational Linguistics (NAACL)
He He, Anusha Balakrishnan, Mihail Eric and Percy Liang. 2017.
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings.
Proceedings of Association for Computational Linguistics (ACL).
[paper, bib]
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
He He and Anusha Balakrishnan and Mihail Eric and Percy Liang
2017
Proceedings of Association for Computational Linguistics (ACL)
Beverly Yang, Sepandar D. Kamvar and Hector Garcia-Molina. 2003.
Addressing the Non-Cooperation Problem in Competitive P2P Networks.
First Workshop on Economics of P2P Systems.
[paper, bib]
Addressing the Non-Cooperation Problem in Competitive P2P Networks
Beverly Yang and Sepandar D. Kamvar and Hector Garcia-Molina
2003
First Workshop on Economics of P2P Systems
Dan Klein, Kristina Toutanova, H. Tolga Ilhan, Sepandar D. Kamvar and Christopher D. Manning. 2002.
Combining Heterogeneous Classifiers for Word-Sense Disambiguation.
Association for Computational Linguistics (ACL) WSD Workshop.
[paper, bib]
Combining Heterogeneous Classifiers for Word-Sense Disambiguation
Dan Klein and Kristina Toutanova and H. Tolga Ilhan and Sepandar D. Kamvar and Christopher D. Manning
2002
Association for Computational Linguistics (ACL) WSD Workshop
Yun-Hsuan Sung, Constantinos Boulis and Dan Jurafsky. 2008.
Maximum Conditional Likelihood Linear Regression and Maximum a Posteriori for Hidden Conditional Random Fields Speaker Adaptation.
IEEE ICASSP.
[paper, bib]
Maximum Conditional Likelihood Linear Regression and Maximum a Posteriori for Hidden Conditional Random Fields Speaker Adaptation
Yun-Hsuan Sung and Constantinos Boulis and Dan Jurafsky
2008
IEEE ICASSP
Tim Althoff, Cristian Danescu-Niculescu-Mizil and Dan Jurafsky. 2014.
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests.
AAAI ICWSM 2014.
[paper, bib]
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests
Tim Althoff and Cristian Danescu-Niculescu-Mizil and Dan Jurafsky
2014
AAAI ICWSM 2014
Elmer Bernstam, Sepandar D. Kamvar, Funda Meric, John Dugan, Chris Stave, Olga Troyanskaya, Jeffrey Chang and Lawrence Fagan. 2001.
Inducing Novel Gene-Drug Interactions from The Biomedical Literature.
ASCO.
[paper, bib]
Inducing Novel Gene-Drug Interactions from The Biomedical Literature
Elmer Bernstam and Sepandar D. Kamvar and Funda Meric and John Dugan and Chris Stave and Olga Troyanskaya and Jeffrey Chang and Lawrence Fagan
2001
ASCO
Drew A Hudson and Christopher D Manning. 2018.
Compositional Attention Networks for Machine Reasoning.
International Conference on Learning Representations (ICLR).
[paper, bib]
Compositional Attention Networks for Machine Reasoning
Hudson , Drew A and Manning , Christopher D
2018
International Conference on Learning Representations (ICLR)
Danqi Chen and Christopher D Manning. 2014.
A Fast and Accurate Dependency Parser using Neural Networks.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
A Fast and Accurate Dependency Parser using Neural Networks
Chen , Danqi and Manning , Christopher D
2014
Empirical Methods in Natural Language Processing (EMNLP)
Yuta Koreeda and Christopher Manning. 2021.
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts.
Findings of the Association for Computational Linguistics: EMNLP 2021.
[paper, bib]
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Koreeda , Yuta and Manning , Christopher
2021
Findings of the Association for Computational Linguistics: EMNLP 2021
Taher Haveliwala, Aristides Gionis, Dan Klein and and Piotr Indyk. 2002.
Evaluating Strategies for Similarity Search on the Web.
WWW.
[paper, bib]
Evaluating Strategies for Similarity Search on the Web
Taher Haveliwala and Aristides Gionis and Dan Klein and and Piotr Indyk
2002
WWW
Sepandar D. Kamvar, Dan Klein and Christopher D. Manning. 2002.
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based Approach.
ICML.
[paper, bib]
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based Approach
Sepandar D. Kamvar and Dan Klein and Christopher D. Manning
2002
ICML
Mihai Surdeanu, David McClosky, Mason R. Smith, Andrey Gusev and Christopher D. Manning. 2011.
Customizing an Information Extraction System to a New Domain.
Workshop on Relational Models of Semantics.
[paper, bib]
Customizing an Information Extraction System to a New Domain
Mihai Surdeanu and David McClosky and Mason R. Smith and Andrey Gusev and Christopher D. Manning
2011
Workshop on Relational Models of Semantics
Paul Heymann, Daniel Ramage and Hector Garcia-Molina. 2008.
Social Tag Prediction.
31st Annual International ACM SIGIR Conference (SIGIR'08).
31st Annual International ACM Special Interest Group on Information Retrieval (SIGIR'08) Conference.
[paper, bib]
Social Tag Prediction
Paul Heymann and Daniel Ramage and Hector Garcia-Molina
2008
31st Annual International ACM SIGIR Conference (SIGIR'08)
Roger Levy and Galen Andrew. 2006.
Tregex and Tsurgeon: tools for querying and manipulating tree data structures.
5th International Conference on Language Resources and Evaluation (LREC 2006).
[paper, bib]
Tregex and Tsurgeon: tools for querying and manipulating tree data structures
Roger Levy and Galen Andrew
2006
5th International Conference on Language Resources and Evaluation (LREC 2006)
Benjamin Newman, John Hewitt, Percy Liang and Christopher D. Manning. 2020.
The EOS Decision and Length Extrapolation.
BlackBoxNLP @ EMNLP.
[paper, bib]
The EOS Decision and Length Extrapolation
Benjamin Newman and John Hewitt and Percy Liang and Christopher D. Manning
2020
BlackBoxNLP @ EMNLP
William L Hamilton, Kevin Clark, Jure Leskovec and Dan Jurafsky. 2016.
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
Hamilton , William L and Clark , Kevin and Leskovec , Jure and Jurafsky , Dan
2016
Empirical Methods in Natural Language Processing (EMNLP)
Alex Tamkin, Trisha Singh, Davide Giovanardi and Noah Goodman. 2020.
Investigating Transferability in Pretrained Language Models.
Findings of the Association for Computational Linguistics: EMNLP 2020.
[paper, bib]
Investigating Transferability in Pretrained Language Models
Tamkin , Alex and Singh , Trisha and Giovanardi , Davide and Goodman , Noah
2020
Findings of the Association for Computational Linguistics: EMNLP 2020
Reginald Long, Panupong Pasupat and Percy Liang. 2016.
Simpler Context-Dependent Logical Forms via Model Projections.
Association for Computational Linguistics (ACL).
[paper, bib]
Simpler Context-Dependent Logical Forms via Model Projections
Reginald Long and Panupong Pasupat and Percy Liang
2016
Association for Computational Linguistics (ACL)
Tianlin Shi, Jacob Steinhardt and Percy Liang. 2015.
Learning Where to Sample in Structured Prediction.
Artificial Intelligence and Statistics (AISTATS).
[paper, bib]
Learning Where to Sample in Structured Prediction
Shi , Tianlin and Steinhardt , Jacob and Liang , Percy
2015
Artificial Intelligence and Statistics (AISTATS)
Vinodkumar Prabhakaran, William L. Hamilton, Dan McFarland and Dan Jurafsky. 2016.
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.
Association for Computational Linguistics (ACL).
[paper, bib]
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing
Prabhakaran , Vinodkumar and Hamilton , William L. and McFarland , Dan and Jurafsky , Dan
2016
Association for Computational Linguistics (ACL)
Mengqiu Wang and Christopher D. Manning. 2010.
Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering.
International Conference on Computational Linguistics (COLING).
[paper, bib]
Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering
Mengqiu Wang and Christopher D. Manning
2010
International Conference on Computational Linguistics (COLING)
Stephan Oepen, Ezra Callahan, Dan Flickinger, Christopher D. Manning and Kristina Toutanova. 2002.
LinGO Redwoods: A Rich and Dynamic Treebank for HPSG.
Beyond PARSEVAL workshop at the Third International Conference on Language Resources and Evaluation (LREC 2002).
[paper, bib]
LinGO Redwoods: A Rich and Dynamic Treebank for HPSG
Stephan Oepen and Ezra Callahan and Dan Flickinger and Christopher D. Manning and Kristina Toutanova
2002
Beyond PARSEVAL workshop at the Third International Conference on Language Resources and Evaluation (LREC 2002)
Heidi Chen, Emma Pierson, Sonja Schmer-Galunder, Jonathan Altamirano, Dan Jurafsky, Jure Leskovec, Magali Fassiotto and Nishita Kothary. 2021.
Gender differences in patient perceptions of physicians' communal traits and the impact on physician evaluations.
Journal of Women's Health.
[paper, bib]
Gender differences in patient perceptions of physicians' communal traits and the impact on physician evaluations
Heidi Chen and Emma Pierson and Sonja Schmer-Galunder and Jonathan Altamirano and Dan Jurafsky and Jure Leskovec and Magali Fassiotto and Nishita Kothary
2021
Journal of Women's Health
Surabhi Gupta Matthew Purver and Dan Jurafsky. 2007.
Disambiguating Between Generic and Referential " You " in Dialog.
Association for Computational Linguistics (ACL).
[paper, bib]
Disambiguating Between Generic and Referential " You " in Dialog
Surabhi Gupta , Matthew Purver , and Dan Jurafsky
2007
Association for Computational Linguistics (ACL)
Yanli Zheng, Richard Sproat, Liang Gu, Izhak Shafran, Haolang Zhou, Yi Su, Dan Jurafsky, Rebecca Starr and Su-Youn Yoon. 2005.
Accent Detection and Speech Recognition for Shanghai-Accented Mandarin.
EUROSPEECH.
[paper, bib]
Accent Detection and Speech Recognition for Shanghai-Accented Mandarin
Yanli Zheng and Richard Sproat and Liang Gu and Izhak Shafran and Haolang Zhou and Yi Su and Dan Jurafsky and Rebecca Starr and Su-Youn Yoon
2005
EUROSPEECH
Danqi Chen, Richard Socher, Christopher D. Manning and Andrew Y. Ng. 2013.
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors.
International Conference on Learning Representations (ICLR) Workshop Track.
[paper, bib]
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
Danqi Chen and Richard Socher and Christopher D. Manning and Andrew Y. Ng
2013
International Conference on Learning Representations (ICLR) Workshop Track
Sepandar D. Kamvar, Mario T. Schlosser and Hector Garcia-Molina. 2003.
Incentives for Combatting Freeriding on P2P Networks.
Euro-Par.
[paper, bib]
Incentives for Combatting Freeriding on P2P Networks
Sepandar D. Kamvar and Mario T. Schlosser and Hector Garcia-Molina
2003
Euro-Par
Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu and Dan Jurafsky. 2011.
Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task.
Conference on Natural Language Learning (CoNLL) Shared Task.
[paper, bib]
Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
Heeyoung Lee and Yves Peirsman and Angel Chang and Nathanael Chambers and Mihai Surdeanu and Dan Jurafsky
2011
Conference on Natural Language Learning (CoNLL) Shared Task
Dan Klein and Christopher D. Manning. 2004.
Parsing and Hypergraphs.
New Developments in Parsing Technology.
[paper, bib]
Parsing and Hypergraphs
Dan Klein and Christopher D. Manning
2004
New Developments in Parsing Technology
Jenny Finkel, Trond Grenager and Christopher D. Manning. 2005.
Incorporating non-local information into information extraction systems by Gibbs sampling.
Association for Computational Linguistics (ACL).
[paper, bib]
Incorporating non-local information into information extraction systems by Gibbs sampling
Jenny Finkel and Trond Grenager and Christopher D. Manning
2005
Association for Computational Linguistics (ACL)
Alan Bell, Jason Brenier, Michelle Gregory, Cynthia Girand and Dan Jurafsky. 2009.
Predictability Effects on Durations of Content and Function Words in Conversational English.
Journal of Memory and Language.
[paper, bib]
Predictability Effects on Durations of Content and Function Words in Conversational English
Alan Bell and Jason Brenier and Michelle Gregory and Cynthia Girand and Dan Jurafsky
2009
Journal of Memory and Language
John Bauer, Chlo é Kiddon, Eric Yeh, Alex Shan and Christopher D. Manning. 2023.
Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs.
Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023).
[paper, bib]
Semgrex and Ssurgeon , Searching and Manipulating Dependency Graphs
Bauer , John and Kiddon , Chlo { \'e } and Yeh , Eric and Shan , Alex and D. Manning , Christopher
2023
Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT , GURT/SyntaxFest 2023)
Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky and Yulia Tsvetkov. 2018.
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies.
Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Field , Anjalie and Kliger , Doron and Wintner , Shuly and Pan , Jennifer and Jurafsky , Dan and Tsvetkov , Yulia
2018
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Minh-Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals and Wojciech Zaremba. 2015.
Addressing the Rare Word Problem in Neural Machine Translation.
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP).
[paper, bib]
Addressing the Rare Word Problem in Neural Machine Translation
Luong , Minh-Thang and Sutskever , Ilya and Le , Quoc V. and Vinyals , Oriol and Zaremba , Wojciech
2015
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)
Manolis Savva, Angel X. Chang, Christopher D. Manning and Pat booktitle ACM Conference on Human Factors in Computing Systems Hanrahan. 2014.
TransPhoner: Automated Mnemonic Keyword Generation.
[paper, bib]
TransPhoner: Automated Mnemonic Keyword Generation
Savva , Manolis and Chang , Angel X. and Manning , Christopher D. and Hanrahan , Pat booktitle { ACM Conference on Human Factors in Computing Systems }
2014
Heeyoung Lee, Marta Recasens, Angel Chang, Mihai Surdeanu and Dan Jurafsky. 2012.
Joint Entity and Event Coreference Resolution across Documents.
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).
[paper, bib]
Joint Entity and Event Coreference Resolution across Documents
Heeyoung Lee and Marta Recasens and Angel Chang and Mihai Surdeanu and Dan Jurafsky
2012
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Haojun Li, Dilara Soylu and Christopher Manning. 2021.
Large-Scale Quantitative Evaluation of Dialogue Agents' Response Strategies against Offensive Users.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue.
[paper, bib]
Large-Scale Quantitative Evaluation of Dialogue Agents' Response Strategies against Offensive Users
Li , Haojun and Soylu , Dilara and Manning , Christopher
2021
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Sepandar D. Kamvar, Taher H. Haveliwala, Christopher D. Manning and Gene H. Golub. 2003.
Extrapolation Methods for Accelerating the Computation of PageRank.
WWW.
[paper, bib]
Extrapolation Methods for Accelerating the Computation of PageRank
Sepandar D. Kamvar and Taher H. Haveliwala and Christopher D. Manning and Gene H. Golub
2003
WWW
Sepandar D. Kamvar, Eldar Giladi, Jeanne Loring and Mike Walker. 2000.
Medline IRaCS: an Information Retrieval and Clutering System for Genomic Knowledge Acquisition.
BCATS.
[paper, bib]
Medline IRaCS: an Information Retrieval and Clutering System for Genomic Knowledge Acquisition
Sepandar D. Kamvar and Eldar Giladi and Jeanne Loring and Mike Walker
2000
BCATS
Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng and Christopher D. Manning. 2011.
Semi-Supervised Recursive Autoencoders For Predicting Sentiment Distributions.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Semi-Supervised Recursive Autoencoders For Predicting Sentiment Distributions
Richard Socher and Jeffrey Pennington and Eric H. Huang and Andrew Y. Ng and Christopher D. Manning
2011
Empirical Methods in Natural Language Processing (EMNLP)
Gabor Angeli, Christopher D. Manning and Daniel Jurafsky. 2012.
Parsing Time: Learning to Interpret Time Expressions.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
Parsing Time: Learning to Interpret Time Expressions
Gabor Angeli and Christopher D. Manning and Daniel Jurafsky
2012
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)
Peng Qi, Timothy Dozat, Yuhao Zhang and Christopher D. Manning. 2018.
Universal Dependency Parsing from Scratch.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.
[paper, bib]
Universal Dependency Parsing from Scratch
Qi , Peng and Dozat , Timothy and Zhang , Yuhao and Manning , Christopher D.
2018
Proceedings of the { CoNLL } 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Angel Chang, Valentin I. Spitkovsky, Christopher D. Manning and Eneko Agirre. 2016.
A comparison of Named-Entity Disambiguation and Word Sense Disambiguation.
International Conference on Language Resources and Evaluation (LREC 2016).
[paper, bib]
A comparison of Named-Entity Disambiguation and Word Sense Disambiguation
Angel Chang and Valentin I. Spitkovsky and Christopher D. Manning and Eneko Agirre
2016
International Conference on Language Resources and Evaluation (LREC 2016)
S. Goldwater and T. Griffiths. 2007 URL pubs/goldwater_griffiths_acl07.pdf.
A fully Bayesian approach to unsupervised part-of-speech tagging.
Association for Computational Linguistics (ACL).
[paper, bib]
A fully Bayesian approach to unsupervised part-of-speech tagging
S. Goldwater and T. Griffiths
2007 URL pubs/goldwater_griffiths_acl07.pdf
Association for Computational Linguistics (ACL)
Sonal Gupta and Christopher D. Manning. 2015.
Distributed Representations of Words to Guide Bootstrapped Entity Classifiers.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Distributed Representations of Words to Guide Bootstrapped Entity Classifiers
Sonal Gupta and Christopher D. Manning
2015
North American Association for Computational Linguistics (NAACL)
Sebastian Schuster, Stephanie Pancoast, Milind Ganjoo, Michael C. Frank and Dan Jurafsky. 2014.
Speaker-Independent Detection of Child-Directed Speech.
IEEE Workshop on Spoken Language Technology.
[paper, bib]
Speaker-Independent Detection of Child-Directed Speech
Schuster , Sebastian and Pancoast , Stephanie and Ganjoo , Milind and Frank , Michael C. and Jurafsky , Dan
2014
IEEE Workshop on Spoken Language Technology
Christopher D. Manning. 2011.
Part-of-Speech Tagging from 97\ to 100\: Is It Time for Some Linguistics?
Conference on Intelligent Text Processing and Computational Linguistics (CICLing).
[paper, bib]
Part-of-Speech Tagging from 97\ to 100\ : Is It Time for Some Linguistics?
Christopher D. Manning
2011
Conference on Intelligent Text Processing and Computational Linguistics (CICLing)
Daniel Cer, Michel Galley, Daniel Jurafsky and Christopher D. Manning. 2010.
Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT) Demonstration Session.
[paper, bib]
Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features
Cer , Daniel and Galley , Michel and Jurafsky , Daniel and Manning , Christopher D.
2010
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) Demonstration Session
Danqi Chen, Richard Socher, Christopher D. Manning and Andrew Y. Ng. 2013.
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors.
International Conference on Learning Representations (ICLR) Workshop Track.
[paper, bib]
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
Danqi Chen and Richard Socher and Christopher D. Manning and Andrew Y. Ng
2013
International Conference on Learning Representations (ICLR) Workshop Track
Richard Socher, Andrew Maas and Christopher D. Manning. 2011.
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities.
Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS).
[paper, bib]
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher and Andrew Maas and Christopher D. Manning
2011
Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS)
Yuan Zhao and Dan Jurafsky. 2007.
The Effect of Lexical Frequency on Tone Production.
International Congress of Phonetic Sciences.
[paper, bib]
The Effect of Lexical Frequency on Tone Production
Yuan Zhao and Dan Jurafsky
2007
International Congress of Phonetic Sciences
Bill MacCartney, Michel Galley and Christopher D. Manning. 2008.
A phrase-based alignment model for natural language inference.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
A phrase-based alignment model for natural language inference
Bill MacCartney and Michel Galley and Christopher D. Manning
2008
Empirical Methods in Natural Language Processing (EMNLP)
Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng . 2013.
Parsing With Compositional Vector Grammars.
Association for Computational Linguistics (ACL) .
[paper, bib]
Parsing With Compositional Vector Grammars
{ Richard Socher and John Bauer and Christopher D. Manning and Andrew Y. Ng }
2013
{ Association for Computational Linguistics (ACL) }
Dan Klein, Sepandar D. Kamvar and Christopher D. Manning. 2002.
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering.
ICML.
[paper, bib]
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering
Dan Klein and Sepandar D. Kamvar and Christopher D. Manning
2002
ICML
Mengqiu Wang and Christopher D. Manning. 2014.
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning.
Transactions of the Association for Computational Linguistics (TACL).
[paper, bib]
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang and Christopher D. Manning
2014
Transactions of the Association for Computational Linguistics (TACL)
Will Monroe, Spence Green and Christopher D. Manning. 2014.
Word Segmentation of Informal Arabic with Domain Adaptation.
Association for Computational Linguistics (ACL).
[paper, bib]
Word Segmentation of Informal Arabic with Domain Adaptation
Monroe , Will and Green , Spence and Manning , Christopher D.
2014
Association for Computational Linguistics (ACL)
Dorottya Demszky, Devyani Sharma, Jonathan H Clark, Vinodkumar Prabhakaran and Jacob Eisenstein. 2021.
Learning to Recognize Dialect Features.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Learning to Recognize Dialect Features
Demszky , Dorottya and Sharma , Devyani and Clark , Jonathan H and Prabhakaran , Vinodkumar and Eisenstein , Jacob
2021
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Jesse Mu Percy Liang and Noah Goodman. 2020.
Shaping Visual Representations with Language for Few-Shot Classification.
Association for Computational Linguistics (ACL).
[paper, bib]
Shaping Visual Representations with Language for Few-Shot Classification
Jesse Mu , Percy Liang , and Noah Goodman
2020
Association for Computational Linguistics (ACL)
Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst and Benno Stein. 2017.
Computational Argumentation Quality Assessment in Natural Language.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL).
[paper, bib]
Computational Argumentation Quality Assessment in Natural Language
Wachsmuth , Henning and Naderi , Nona and Hou , Yufang and Bilu , Yonatan and Prabhakaran , Vinodkumar and Thijm , Tim Alberdingk and Hirst , Graeme and Stein , Benno
2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL)
Jonathan Berant and Percy Liang. 2015.
Imitation Learning of Agenda-based Semantic Parsers.
Transactions of the Association for Computational Linguistics (TACL).
[paper, bib]
Imitation Learning of Agenda-based Semantic Parsers
Berant , Jonathan and Percy Liang
2015
Transactions of the Association for Computational Linguistics (TACL)
Urvashi Khandelwal, He He, Peng Qi and Dan Jurafsky. 2018.
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.
Association for Computational Linguistics (ACL).
[paper, bib]
Sharp Nearby , Fuzzy Far Away: How Neural Language Models Use Context
Khandelwal , Urvashi and He , He and Qi , Peng and Jurafsky , Dan
2018
Association for Computational Linguistics (ACL)
Haejun Lee, Drew A Hudson, Kangwook Lee and Christopher D Manning. 2020.
SLM: Learning a Discourse Language Representation with Sentence Unshuffling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
SLM: Learning a Discourse Language Representation with Sentence Unshuffling
Lee , Haejun and Hudson , Drew A and Lee , Kangwook and Manning , Christopher D
2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar and Dan Roth. 2020.
Do Language Embeddings Capture Scales?
Findings of the Association for Computational Linguistics: EMNLP 2020.
[paper, bib]
Do Language Embeddings Capture Scales?
Zhang , Xikun and Ramachandran , Deepak and Tenney , Ian and Elazar , Yanai and Roth , Dan
2020
Findings of the Association for Computational Linguistics: EMNLP 2020
Yun-Hsuan Sung, Constantinos Boulis, Christopher Manning and Dan Jurafsky. 2007.
Regularization, Adaptation, and Non-Independent Features Improve Hidden Conditional Random Fields for Phone Classification.
IEEE Automatic Speech Recognition and Understanding Workshop.
[paper, bib]
Regularization , Adaptation , and Non-Independent Features Improve Hidden Conditional Random Fields for Phone Classification
Yun-Hsuan Sung and Constantinos Boulis and Christopher Manning and Dan Jurafsky
2007
IEEE Automatic Speech Recognition and Understanding Workshop
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli and Christopher D. Manning. 2017.
Position-aware Attention and Supervised Data Improve Slot Filling.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Position-aware Attention and Supervised Data Improve Slot Filling
Zhang , Yuhao and Zhong , Victor and Chen , Danqi and Angeli , Gabor and Manning , Christopher D.
2017
Empirical Methods in Natural Language Processing (EMNLP)
Drew A Hudson and C. Lawrence Zitnick. 2021.
Generative Adversarial Transformers.
The 38th International Conference on Machine Learning, ICML .
[paper, bib]
Generative Adversarial Transformers
Hudson , Drew A and Zitnick , C. Lawrence
2021
The 38th International Conference on Machine Learning , { ICML }
Angel Chang, Will Monroe, Manolis Savva, Christopher Potts and Christopher D. Manning. 2015.
Text to 3D Scene Generation with Rich Lexical Grounding.
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP).
[paper, bib]
Text to 3D Scene Generation with Rich Lexical Grounding
Chang , Angel and Monroe , Will and Savva , Manolis and Potts , Christopher and Manning , Christopher D.
2015
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)
Mario T. Schlosser and Sepandar D. Kamvar. 2002.
Simulating a File Sharing P2P Network.
Stanford University Technical Report.
[paper, bib]
Simulating a File Sharing P2P Network
Mario T. Schlosser and Sepandar D. Kamvar
2002
Stanford University Technical Report
Sepandar D. Kamvar, Mario T. Schlosser and Hector Garcia-Molina. 2003.
The EigenTrust Algorithm for Reputation Management in P2P Networks.
WWW.
[paper, bib]
The EigenTrust Algorithm for Reputation Management in P2P Networks
Sepandar D. Kamvar and Mario T. Schlosser and Hector Garcia-Molina
2003
WWW
Dan Klein and Christopher D. Manning. 2003.
Factored A* Search for Models over Sequences and Trees.
IJCAI.
[paper, bib]
Factored A* Search for Models over Sequences and Trees
Dan Klein and Christopher D. Manning
2003
IJCAI
Valentin Ilyich Spitkovsky. 2013.
Grammar Induction and Parsing with Dependency-and-Boundary Models.
[paper, bib]
Grammar Induction and Parsing with Dependency-and-Boundary Models
Spitkovsky , Valentin Ilyich
2013
A. T. Chaganty and P. Liang. 2016.
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions.
Association for Computational Linguistics (ACL).
[paper, bib]
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions
A. T. Chaganty and P. Liang
2016
Association for Computational Linguistics (ACL)
John Hewitt, Christopher D. Manning and Percy Liang. 2022.
Truncation Sampling as Language Model Desmoothing.
Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP).
[paper, bib]
Truncation Sampling as Language Model Desmoothing
Hewitt , John and Manning , Christopher D. and Liang , Percy
2022
Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP)
Eric Yeh, Daniel Ramage, Christopher D. Manning, Eneko Agirre and Aitor Soroa. 2009.
WikiWalk: Random walks on Wikipedia for Semantic Relatedness.
Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4).
[paper, bib]
WikiWalk: Random walks on Wikipedia for Semantic Relatedness
Yeh , Eric and Ramage , Daniel and Manning , Christopher D. and Agirre , Eneko and Soroa , Aitor
2009
Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4)
Valentin I. Spitkovsky, Daniel Jurafsky and Hiyan Alshawi. 2010.
Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing.
Association for Computational Linguistics (ACL).
[paper, bib]
Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing
Spitkovsky , Valentin I. and Jurafsky , Daniel and Alshawi , Hiyan
2010
Association for Computational Linguistics (ACL)
Panupong Pasupat and Percy Liang. 2014.
Zero-shot Entity Extraction from Web Pages.
Association for Computational Linguistics (ACL).
[paper, bib]
Zero-shot Entity Extraction from Web Pages
Panupong Pasupat and Percy Liang
2014
Association for Computational Linguistics (ACL)
Sepandar D. Kamvar, Dan Klein and Christopher D. Manning. 2003.
Spectral Learning.
IJCAI .
[paper, bib]
Spectral Learning
Sepandar D. Kamvar and Dan Klein and Christopher D. Manning
2003
{ IJCAI }
Minh-Thang Luong and Christopher D. Manning. 2015.
Stanford Neural Machine Translation Systems for Spoken Language Domain.
International Workshop on Spoken Language Translation.
[paper, bib]
Stanford Neural Machine Translation Systems for Spoken Language Domain
Luong , Minh-Thang and Manning , Christopher D.
2015
International Workshop on Spoken Language Translation
Daniel Cer, Christopher D. Manning and Daniel Jurafsky. 2010.
The best lexical metric for phrase-based statistical MT system optimization.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
The best lexical metric for phrase-based statistical MT system optimization
Cer , Daniel and Manning , Christopher D. and Jurafsky , Daniel
2010
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)
Y. Wang, J. Berant and P. Liang. 2015.
Building a Semantic Parser Overnight.
Association for Computational Linguistics (ACL).
[paper, bib]
Building a Semantic Parser Overnight
Y. Wang and J. Berant and P. Liang
2015
Association for Computational Linguistics (ACL)
Robin Jia, Aditi Raghunathan, Kerem Goksel and Percy Liang. 2019.
Certified Robustness to Adversarial Word Substitutions.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Certified Robustness to Adversarial Word Substitutions
Robin Jia and Aditi Raghunathan and Kerem Goksel and Percy Liang
2019
Empirical Methods in Natural Language Processing (EMNLP)
Christopher Potts, Zhengxuan Wu, Atticus Geiger and Douwe Kiela. 2021.
DynaSent: A Dynamic Benchmark for Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
[paper, bib]
DynaSent : A Dynamic Benchmark for Sentiment Analysis
Potts , Christopher and Wu , Zhengxuan and Geiger , Atticus and Kiela , Douwe
2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Arun Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi and Christopher D. Manning. 2017.
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
Text Analysis Conference (TAC).
[paper, bib]
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph
Chaganty , Arun and Paranjape , Ashwin and Bolton , Jason and Lamm , Matthew and Lei , Jinhao and See , Abigail and Clark , Kevin and Zhang , Yuhao and Qi , Peng and Manning , Christopher D.
2017
Text Analysis Conference (TAC)
Stephan Oepen, Dan Flickinger, Kristina Toutanova and Christopher D. Manning. 2005.
LinGO Redwoods: A Rich and Dynamic Treebank for HPSG.
Research in Language and Computation.
[paper, bib]
LinGO Redwoods: A Rich and Dynamic Treebank for HPSG
Stephan Oepen and Dan Flickinger and Kristina Toutanova and Christopher D. Manning
2005
Research in Language and Computation
Dan Jurafsky, Victor Chahuneau, Bryan R. Routledge and Noah A. Smith. 2014.
Narrative framing of consumer sentiment in online restaurant reviews.
First Monday.
[paper, bib]
Narrative framing of consumer sentiment in online restaurant reviews
Dan Jurafsky and Victor Chahuneau and Bryan R. Routledge and Noah A. Smith
2014
First Monday
Marta Recasens, M. Antònia Martí and Constantin Orasan. 2012.
Annotating Near-Identity From Coreference Disagreements.
Language Resources and Evaluation Conference (LREC) .
[paper, bib]
Annotating Near-Identity From Coreference Disagreements
Marta Recasens and M. Antònia Martí and Constantin Orasan
2012
{ Language Resources and Evaluation Conference (LREC) }
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajic, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty and Daniel Zeman. 2016.
Universal Dependencies v1: A Multilingual Treebank Collection.
International Conference on Language Resources and Evaluation (LREC 2016).
[paper, bib]
Universal Dependencies v1: A Multilingual Treebank Collection
Joakim Nivre and Marie-Catherine de Marneffe and Filip Ginter and Yoav Goldberg and Jan Hajic and Christopher D. Manning and Ryan McDonald and Slav Petrov and Sampo Pyysalo and Natalia Silveira and Reut Tsarfaty and Daniel Zeman
2016
International Conference on Language Resources and Evaluation (LREC 2016)
David Dominguez-Sal, Josep Aguilar-Saborit, Mihai Surdeanu and Josep Lluis Larriba-Pey. 2011.
Using Evolutive Summary Counters for Efficient Cooperative Caching in Search Engines.
IEEE Transactions on Parallel and Distributed Systems.
[paper, bib]
Using Evolutive Summary Counters for Efficient Cooperative Caching in Search Engines
David Dominguez-Sal and Josep Aguilar-Saborit and Mihai Surdeanu and Josep Lluis Larriba-Pey
2011
IEEE Transactions on Parallel and Distributed Systems
Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md Arafat Sultan, Salim Roukos, Matei Zaharia and Christopher Potts. 2022.
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.
arXiv preprint arXiv:2212.01340.
[paper, bib]
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Santhanam , Keshav and Saad-Falcon , Jon and Franz , Martin and Khattab , Omar and Sil , Avirup and Florian , Radu and Sultan , Md Arafat and Roukos , Salim and Zaharia , Matei and Potts , Christopher
2022
arXiv preprint arXiv:2212.01340
Will Monroe, Robert X.D. Hawkins, Noah D. Goodman and Christopher Potts. 2017.
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding.
Transactions of the Association for Computational Linguistics.
[paper, bib]
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
Monroe , Will and Hawkins , Robert X.D. and Goodman , Noah D. and Potts , Christopher
2017
Transactions of the Association for Computational Linguistics
Grace Muzny, Michael Fang, Angel X. Chang and Dan Jurafsky. 2017.
A Two-stage Sieve Approach for Quote Attribution.
Proceedings of the European Chapter of the Association for Computational Linguistics (EACL).
[paper, bib]
A Two-stage Sieve Approach for Quote Attribution
Muzny , Grace and Fang , Michael and Chang , Angel X. and Jurafsky , Dan
2017
Proceedings of the European Chapter of the Association for Computational Linguistics (EACL)
Minh-Thang Luong, Hieu Pham and Christopher D. Manning. 2015.
Bilingual Word Representations with Monolingual Quality in Mind.
North American Association for Computational Linguistics (NAACL) Workshop on Vector Space Modeling for NLP.
[paper, bib]
Bilingual Word Representations with Monolingual Quality in Mind
Luong , Minh-Thang and Pham , Hieu and Manning , Christopher D.
2015
North American Association for Computational Linguistics (NAACL) Workshop on Vector Space Modeling for NLP
Marie-Catherine de Marneffe, Bill MacCartney and Christopher D. Manning. 2006.
Generating Typed Dependency Parses from Phrase Structure Parses.
To appear at LREC-06.
[paper, bib]
Generating Typed Dependency Parses from Phrase Structure Parses
Marie-Catherine de Marneffe and Bill MacCartney and Christopher D. Manning
2006
To appear at LREC-06
He He, Derek Chen, Anusha Balakrishnan and Percy Liang. 2018.
Decoupling Strategy and Generation in Negotiation Dialogues.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Decoupling Strategy and Generation in Negotiation Dialogues
He He and Derek Chen and Anusha Balakrishnan and Percy Liang
2018
Empirical Methods in Natural Language Processing (EMNLP)
Chris Donahue Mina Lee and Percy Liang. 2020.
Enabling Language Models to Fill in the Blanks.
Association for Computational Linguistics (ACL).
[paper, bib]
Enabling Language Models to Fill in the Blanks
Chris Donahue , Mina Lee , and Percy Liang
2020
Association for Computational Linguistics (ACL)
Justine Zhang, William L. Hamilton, Cristian and Danescu-Niculescu-Mizil, Dan Jurafsky and Jure Leskovec. 2017.
Community Identity and User Engagement in a Multi-community Landscape.
International Conference on the Web and Social Media (ICWSM).
[paper, bib]
Community Identity and User Engagement in a Multi-community Landscape
Zhang , Justine and Hamilton , William L. and and Danescu-Niculescu-Mizil , Cristian and Jurafsky , Dan and Leskovec , Jure
2017
International Conference on the Web and Social Media (ICWSM)
Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei and Christopher D. Manning. 2015.
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval.
Workshop on Vision and Language (VL15).
[paper, bib]
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
Schuster , Sebastian and Krishna , Ranjay and Chang , Angel and Fei-Fei , Li and Manning , Christopher D.
2015
Workshop on Vision and Language (VL15)
Reid Pryzant, Kelly Shen, Dan Jurafsky and Stefan Wager. 2018.
Deconfounded Lexicon Induction for Interpretable Social Science.
16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Deconfounded Lexicon Induction for Interpretable Social Science
Pryzant , Reid and Shen , Kelly and Jurafsky , Dan and Wager , Stefan
2018
16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Vinodkumar Prabhakaran, Premkumar Ganeshkumar and Owen Rambow. 2018.
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
[paper, bib]
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions
Prabhakaran , Vinodkumar and Ganeshkumar , Premkumar and Rambow , Owen
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng . 2012.
Convolutional-Recursive Deep Learning For 3D Object Classification.
Advances in Neural Information Processing Systems 25 .
[paper, bib]
Convolutional-Recursive Deep Learning For 3D Object Classification
{ Richard Socher and Brody Huval and Bharath Bhat and Christopher D. Manning and Andrew Y. Ng }
2012
{ Advances in Neural Information Processing Systems 25 }
K. Guu, T. B. Hashimoto, Y. Oren and P. Liang. 2018.
Generating Sentences by Editing Prototypes.
Transactions of the Association for Computational Linguistics (TACL).
[paper, bib]
Generating Sentences by Editing Prototypes
K. Guu and T. B. Hashimoto and Y. Oren and P. Liang
2018
Transactions of the Association for Computational Linguistics (TACL)
Angel X. Chang, Manolis Savva and Christopher D. Manning. 2014.
Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation.
Association for Computational Linguistics (ACL) Workshop on Interactive Language Learning, Visualization, and Interfaces (ILLVI).
[paper, bib]
Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation
Chang , Angel X. and Savva , Manolis and Manning , Christopher D.
2014
Association for Computational Linguistics (ACL) Workshop on Interactive Language Learning , Visualization , and Interfaces (ILLVI)
H. Tolga Ilhan, Sepandar D. Kamvar, Dan Klein, Christopher D. Manning and Kristina Toutanova. 2001.
Combining Heterogeneous Classifiers for Word-Sense Disambiguation.
Second International Workshop on Evaluating Word Sense Disambiguation Systems (SENSEVAL-2).
[paper, bib]
Combining Heterogeneous Classifiers for Word-Sense Disambiguation
H. Tolga Ilhan and Sepandar D. Kamvar and Dan Klein and Christopher D. Manning and Kristina Toutanova
2001
Second International Workshop on Evaluating Word Sense Disambiguation Systems (SENSEVAL-2)
Mengqiu Wang and Christopher D. Manning. 2013.
Effect of Non-linear Deep Architecture in Sequence Labeling.
International Joint Conference on Natural Language Processing (IJCNLP).
[paper, bib]
Effect of Non-linear Deep Architecture in Sequence Labeling
Mengqiu Wang and Christopher D. Manning
2013
International Joint Conference on Natural Language Processing (IJCNLP)
John Hewitt, Kawin Ethayarajh, Percy Liang and Christopher D. Manning. 2021.
Conditional probing: measuring usable information beyond a baseline.
Conference on Empirical Methods in Natural Language Processing.
[paper, bib]
Conditional probing: measuring usable information beyond a baseline
Hewitt , John and Ethayarajh , Kawin and Liang , Percy and Manning , Christopher D.
2021
Conference on Empirical Methods in Natural Language Processing
Gabor Angeli and Christopher D. Manning. 2014.
NaturalLI: Natural Logic Inference for Common Sense Reasoning.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli and Christopher D. Manning
2014
Empirical Methods in Natural Language Processing (EMNLP)
Galen Andrew, Trond Grenager and Christopher D. Manning. 2004.
Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Tasks.
EMNLP.
[paper, bib]
Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Tasks
Galen Andrew and Trond Grenager and Christopher D. Manning
2004
EMNLP
Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky and Christopher Manning. 2010.
A Multi-Pass Sieve for Coreference Resolution.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
A Multi-Pass Sieve for Coreference Resolution
Raghunathan , Karthik and Lee , Heeyoung and Rangarajan , Sudarshan and Chambers , Nathanael and Surdeanu , Mihai and Jurafsky , Dan and Manning , Christopher
2010
Empirical Methods in Natural Language Processing (EMNLP)
Angel X. Chang and Christopher D. Manning. 2014.
TokensRegex: Defining cascaded regular expressions over tokens.
[paper, bib]
TokensRegex : Defining cascaded regular expressions over tokens
Chang , Angel X. and Manning , Christopher D.
2014
Nathanael Chambers, Shan Wang and Dan Jurafsky. 2007.
Classifying Temporal Relations Between Events.
Association for Computational Linguistics (ACL).
[paper, bib]
Classifying Temporal Relations Between Events
Nathanael Chambers and Shan Wang and Dan Jurafsky
2007
Association for Computational Linguistics (ACL)
Gabor Angeli, Neha Nayak and Christopher D. Manning. 2016.
Combining Natural Logic and Shallow Reasoning for Question Answering.
Association for Computational Linguistics (ACL).
[paper, bib]
Combining Natural Logic and Shallow Reasoning for Question Answering
Gabor Angeli and Neha Nayak and Christopher D. Manning
2016
Association for Computational Linguistics (ACL)
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang and Christopher R. 2018.
Training Classifiers with Natural Language Explanations.
Association for Computational Linguistics (ACL).
[paper, bib]
Training Classifiers with Natural Language Explanations
Hancock , Braden and Varma , Paroma and Wang , Stephanie and Bringmann , Martin and Liang , Percy and R , Christopher
2018
Association for Computational Linguistics (ACL)
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto and Percy Liang. 2023.
Robust Distortion-free Watermarks for Language Models.
arXiv preprint arXiv:2307.15593.
[paper, bib]
Robust Distortion-free Watermarks for Language Models
Kuditipudi , Rohith and Thickstun , John and Hashimoto , Tatsunori and Liang , Percy
2023
arXiv preprint arXiv:2307.15593
Vinodkumar Prabhakaran, MIchael Saltzman and Owen Rambow. 2016.
How Powerful Are You?: GSPIN: Bringing Power Analysis to Your Finger Tips.
Proceedings of the 25th International Conference Companion on World Wide Web (WWW).
[paper, bib]
How Powerful Are You?: GSPIN: Bringing Power Analysis to Your Finger Tips
Prabhakaran , Vinodkumar and Saltzman , MIchael and Rambow , Owen
2016
Proceedings of the 25th International Conference Companion on World Wide Web (WWW)
Yiwei Luo, Dallas Card and Dan Jurafsky. 2020.
D e SMOG: Detecting Stance in Media On Global Warming.
Findings of the Association for Computational Linguistics: Empirical Methods in Natural Language Processing (EMNLP) 2020.
[paper, bib]
D e SMOG : Detecting Stance in Media On Global Warming
Luo , Yiwei and Card , Dallas and Jurafsky , Dan
2020
Findings of the Association for Computational Linguistics: Empirical Methods in Natural Language Processing (EMNLP) 2020
Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur and Christopher Potts. 2023.
Causal Proxy Models for concept-based model explanations.
International Conference on Machine Learning.
[paper, bib]
Causal Proxy Models for concept-based model explanations
Wu , Zhengxuan and D'Oosterlinck , Karel and Geiger , Atticus and Zur , Amir and Potts , Christopher
2023
International Conference on Machine Learning
Danqi Chen, Jason Bolton and Christopher D. Manning. 2016.
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.
Association for Computational Linguistics (ACL).
[paper, bib]
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Chen , Danqi and Bolton , Jason and Manning , Christopher D.
2016
Association for Computational Linguistics (ACL)
Marta Recasens, Cristian Danescu-Niculescu-Mizil and Dan Jurafsky. 2013.
Linguistic Models for Analyzing and Detecting Biased Language.
Association for Computational Linguistics (ACL).
[paper, bib]
Linguistic Models for Analyzing and Detecting Biased Language
Marta Recasens and Cristian Danescu-Niculescu-Mizil and Dan Jurafsky
2013
Association for Computational Linguistics (ACL)
Sebastian Schuster, Joakim Nivre and Christopher D. Manning. 2018.
Sentences with Gapping: Parsing and Reconstructing Elided Predicates.
North American Chapter of the Association of Computational Linguistics (NAACL).
[paper, bib]
Sentences with Gapping: Parsing and Reconstructing Elided Predicates
Schuster , Sebastian and Nivre , Joakim and Manning , Christopher D.
2018
North American Chapter of the Association of Computational Linguistics (NAACL)
Spence Green, Conal Sathi and Christopher D. Manning. 2009.
NP subject detection in verb-initial A rabic clauses.
Workshop on Computational Approaches to Arabic Script-based Languages (CAASL3).
[paper, bib]
NP subject detection in verb-initial A rabic clauses
Spence Green and Conal Sathi and Christopher D. Manning
2009
Workshop on Computational Approaches to Arabic Script-based Languages (CAASL3)
Gabor Angeli, Arun Chaganty, Angel Chang, Kevin Reschke, Julie Tibshirani, Jean Y. Wu, Osbert Bastani, Keith Siilats and Christopher D. Manning. 2014.
Stanford's 2013 KBP System.
Text Analysis Conference (TAC 2013).
[paper, bib]
Stanford's 2013 KBP System
Gabor Angeli and Arun Chaganty and Angel Chang and Kevin Reschke and Julie Tibshirani and Jean Y. Wu and Osbert Bastani and Keith Siilats and Christopher D. Manning
2014
Text Analysis Conference (TAC 2013)
Adam Vogel and Dan Jurafsky. 2010.
Learning to Follow Navigational Directions.
Association for Computational Linguistics (ACL).
[paper, bib]
Learning to Follow Navigational Directions
Adam Vogel and Dan Jurafsky
2010
Association for Computational Linguistics (ACL)
Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz and Dan Jurafsky. 2021.
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Miura , Yasuhide and Zhang , Yuhao and Tsai , Emily and Langlotz , Curtis and Jurafsky , Dan
2021
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani and Eduard Hovy. 2022.
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation.
International Conference on Computational Linguistics (COLING).
[paper, bib]
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation
Keh , Sedrick Scott and Lu , Kevin and Gangal , Varun and Feng , Steven Y. and Jhamtani , Harsh and Alikhani , Malihe and Hovy , Eduard
2022
International Conference on Computational Linguistics (COLING)
Angel X. Chang, Manolis Savva and Christopher D. Manning. 2014.
Semantic parsing for text to 3D scene generation.
Association for Computational Linguistics (ACL) Workshop on Semantic Parsing.
[paper, bib]
Semantic parsing for text to 3D scene generation
Chang , Angel X. and Savva , Manolis and Manning , Christopher D.
2014
Association for Computational Linguistics (ACL) Workshop on Semantic Parsing
Stephan Oepen, Kristina Toutanova, Stuart Shieber, Christopher Manning, Dan Flickinger and Thorsten Brants.. 2002.
The LinGO Redwoods Treebank: Motivation and Preliminary Applications.
19th International Conference on Computational Linguistics (COLING 2002).
[paper, bib]
The LinGO Redwoods Treebank: Motivation and Preliminary Applications
Stephan Oepen and Kristina Toutanova and Stuart Shieber and Christopher Manning and Dan Flickinger and Thorsten Brants.
2002
19th International Conference on Computational Linguistics (COLING 2002)
Sepandar D. Kamvar, Diane E. Oliver, Christopher D. Manning and Russ B. Altman. 2002.
Inducing Novel Gene-Drug Interactions from The Biomedical Literature.
Stanford University Technical Report.
[paper, bib]
Inducing Novel Gene-Drug Interactions from The Biomedical Literature
Sepandar D. Kamvar and Diane E. Oliver and Christopher D. Manning and Russ B. Altman
2002
Stanford University Technical Report
Yuan Zhao and Dan Jurafsky. 2005.
A preliminary study of Mandarin filled pauses.
DiSS'05, Disfluency in Spontaneous Speech Workshop.
[paper, bib]
A preliminary study of Mandarin filled pauses
Yuan Zhao and Dan Jurafsky
2005
DiSS'05 , Disfluency in Spontaneous Speech Workshop
Sebastian Pado, Marco Pennacchiotti and Caroline Sporleder. 2008.
Semantic Role Assignment For Event Nominalisations By Leveraging Verbal Data.
COLING.
[paper, bib]
Semantic Role Assignment For Event Nominalisations By Leveraging Verbal Data
Sebastian Pado and Marco Pennacchiotti and Caroline Sporleder
2008
COLING
Kevin Clark, Urvashi Khandelwal, Omer Levy and Christopher D. Manning. 2019.
What Does BERT Look At? An Analysis of BERT's Attention.
BlackBoxNLP @ ACL.
[paper, bib]
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark and Urvashi Khandelwal and Omer Levy and Christopher D. Manning
2019
BlackBoxNLP @ ACL
Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning and Christopher Potts. 2016.
A Fast Unified Model for Parsing and Sentence Understanding.
Association for Computational Linguistics (ACL).
[paper, bib]
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman and Jon Gauthier and Abhinav Rastogi and Raghav Gupta and Christopher D. Manning and Christopher Potts
2016
Association for Computational Linguistics (ACL)
Heeyoung Lee, Mihai Surdeanu, Bill MacCartney and Dan Jurafsky. 2014.
On the Importance of Text Analysis for Stock Price Prediction.
Language Resources and Evaluation Conference (LREC).
[paper, bib]
On the Importance of Text Analysis for Stock Price Prediction
Heeyoung Lee and Mihai Surdeanu and Bill MacCartney and Dan Jurafsky
2014
Language Resources and Evaluation Conference (LREC)
Jeffrey Pennington, Richard Socher and Christopher D. Manning. 2014.
GloVe: Global Vectors for Word Representation.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
GloVe: Global Vectors for Word Representation
Jeffrey Pennington and Richard Socher and Christopher D. Manning
2014
Empirical Methods in Natural Language Processing (EMNLP)
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2013.
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2013
Empirical Methods in Natural Language Processing (EMNLP)
Kristina Toutanova and Christopher D. Manning. 2002.
Feature Selection for a Rich HPSG Grammar Using Decision Trees.
Sixth Conference on Natural Language Learning (CoNLL-2002).
[paper, bib]
Feature Selection for a Rich HPSG Grammar Using Decision Trees
Kristina Toutanova and Christopher D. Manning
2002
Sixth Conference on Natural Language Learning (CoNLL-2002)
Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz and Noah Goodman. 2021.
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning.
Neural Information Processing Systems Track on Datasets and Benchmarks.
[paper, bib]
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning
Tamkin , Alex and Liu , Vincent and Lu , Rongfei and Fein , Daniel and Schultz , Colin and Goodman , Noah
2021
Neural Information Processing Systems Track on Datasets and Benchmarks
Jenny Rose Finkel Christopher D. Manning and Andrew Y. Ng. 2006.
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
Jenny Rose Finkel , Christopher D. Manning , and Andrew Y. Ng
2006
Empirical Methods in Natural Language Processing (EMNLP)
Miriam Corris, Christopher Manning, Susan Poetsch and Jane Simpson.. 2000.
Bilingual Dictionaries for Australian Languages: User studies on the place of paper and electronic dictionaries.
Ninth Euralex International Congress (Euralex 2000).
[paper, bib]
Bilingual Dictionaries for Australian Languages: User studies on the place of paper and electronic dictionaries
Miriam Corris and Christopher Manning and Susan Poetsch and Jane Simpson.
2000
Ninth Euralex International Congress (Euralex 2000)
Mihail Eric and Christopher Manning. 2017.
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue.
15th Conference of the European Chapter of the Association for Computational Linguistics (EACL).
[paper, bib]
A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue
Eric , Mihail and Manning , Christopher
2017
15th Conference of the European Chapter of the Association for Computational Linguistics (EACL)
Samuel R. Bowman, Potts Christopher and Christopher D. Manning. 2015.
Recursive Neural Networks Can Learn Logical Semantics.
Workshop on Continuous Vector Space Models and their Compositionality.
[paper, bib]
Recursive Neural Networks Can Learn Logical Semantics
Bowman , Samuel R. and Potts , Christopher , and Manning , Christopher D.
2015
Workshop on Continuous Vector Space Models and their Compositionality
Sepandar D. Kamvar, Taher H. Haveliwala and Gene H. Golub. 2003.
Adaptive Methods For The Computation Of PageRank.
Stanford University Technical Report .
[paper, bib]
Adaptive Methods For The Computation Of PageRank
Sepandar D. Kamvar and Taher H. Haveliwala and Gene H. Golub
2003
{ Stanford University Technical Report }
Cynthia A. Thompson, Joseph Smarr, Huy Nguyen and Christopher D. Manning. 2003.
Finding Educational Resources on the Web: Exploiting Automatic Extraction of Metadata.
ECML Workshop on Adaptive Text Extraction and Mining.
[paper, bib]
Finding Educational Resources on the Web: Exploiting Automatic Extraction of Metadata
Cynthia A. Thompson and Joseph Smarr and Huy Nguyen and Christopher D. Manning
2003
ECML Workshop on Adaptive Text Extraction and Mining
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch and Dhanya Sridhar. 2021.
Causal Effects of Linguistic Properties.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Causal Effects of Linguistic Properties
Pryzant , Reid and Card , Dallas and Jurafsky , Dan and Veitch , Victor and Sridhar , Dhanya
2021
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Michael Hahn, Dan Jurafsky and Richard Futrell. 2020.
Universals of word order reflect optimization of grammars for efficient communication.
Proceedings of the National Academy of Sciences of the United States of America.
[paper, bib]
Universals of word order reflect optimization of grammars for efficient communication
Hahn , Michael and Jurafsky , Dan and Futrell , Richard
2020
Proceedings of the National Academy of Sciences of the United States of America
Stephen Guo, Mengqiu Wang and Jure Leskovec. 2011.
The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice.
ACM Conference on Electronic Commerce.
[paper, bib]
The Role of Social Networks in Online Shopping: Information Passing , Price of Trust , and Consumer Choice
Stephen Guo and Mengqiu Wang and Jure Leskovec
2011
ACM Conference on Electronic Commerce
Karel D'Oosterlinck, Fran \c c ois Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins and Christopher Potts. 2023.
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
arXiv preprint arXiv:2305.13395.
[paper, bib]
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
D'Oosterlinck , Karel and Remy , Fran { \c { c } } ois and Deleu , Johannes and Demeester , Thomas and Develder , Chris and Zaporojets , Klim and Ghodsi , Aneiss and Ellershaw , Simon and Collins , Jack and Potts , Christopher
2023
arXiv preprint arXiv:2305.13395
Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert and Christopher D. Manning. 2013.
Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task.
Association for Computational Linguistics (ACL) Workshop on Statistical Machine Translation.
[paper, bib]
Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task
Green , Spence and Cer , Daniel and Reschke , Kevin and Voigt , Rob and Bauer , John and Wang , Sida and Silveira , Natalia and Neidert , Julia and Manning , Christopher D.
2013
Association for Computational Linguistics (ACL) Workshop on Statistical Machine Translation
Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng and Christopher D. Manning. 2011.
Parsing Natural Scenes And Natural Language With Recursive Neural Networks.
International Conference on Machine Learning (ICML).
[paper, bib]
Parsing Natural Scenes And Natural Language With Recursive Neural Networks
Richard Socher and Cliff Chiung-Yu Lin and Andrew Y. Ng and Christopher D. Manning
2011
International Conference on Machine Learning (ICML)
Mihai Surdeanu, Ramesh Nallapati and Christopher D. Manning. 2010.
Legal Claim Identification: Information Extraction with Hierarchically Labeled Data.
Language Resources and Evaluation Conference (LREC) Workshop on the Semantic Processing of Legal Texts (SPLeT).
[paper, bib]
Legal Claim Identification: Information Extraction with Hierarchically Labeled Data
Surdeanu , Mihai and Nallapati , Ramesh and Manning , Christopher D.
2010
Language Resources and Evaluation Conference (LREC) Workshop on the Semantic Processing of Legal Texts (SPLeT)
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Mateia Zaharia and Christopher Potts. 2023.
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.
[paper, bib]
DSPy : Compiling Declarative Language Model Calls into Self-Improving Pipelines
Khattab , Omar and Singhvi , Arnav and Maheshwari , Paridhi and Zhang , Zhiyuan and Santhanam , Keshav and Vardhamanan , Sri and Haq , Saiful and Sharma , Ashutosh and Joshi , Thomas T. and Moazam , Hanna and Miller , Heather and Zaharia , Mateia and Potts , Christopher
2023
Rob Voigt, Robert J. Podesva and Dan Jurafsky. 2014.
Speaker Movement Correlates with Prosodic Indicators of Engagement.
Proceedings of Speech Prosody 7.
[paper, bib]
Speaker Movement Correlates with Prosodic Indicators of Engagement
Voigt , Rob and Podesva , Robert J. and Jurafsky , Dan
2014
Proceedings of Speech Prosody 7
Robert Munro. 2013.
Crowdsourcing and the Crisis-affected Population.
Information retrieval.
[paper, bib]
Crowdsourcing and the Crisis-affected Population
Robert Munro
2013
Information retrieval
Kevin Jansz, Wee Jim Sng, Nitin Indurkhya and Christopher Manning. 2000.
Using XSL And XQL For Efficient Customised Access To Dictionary Information.
AusWeb 2000, the Sixth Australian World Wide Web Conference.
[paper, bib]
Using XSL And XQL For Efficient Customised Access To Dictionary Information
Kevin Jansz and Wee Jim Sng and Nitin Indurkhya and Christopher Manning
2000
AusWeb 2000 , the Sixth Australian World Wide Web Conference
Mona Diab, Kadri Hacioglu and Daniel Jurafsky. 2004.
Automatic tagging of arabic text: from raw text to base phrase chunks.
NAACL-HLT.
[paper, bib]
Automatic tagging of arabic text: from raw text to base phrase chunks
Mona Diab and Kadri Hacioglu and Daniel Jurafsky
2004
NAACL-HLT
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard and David McClosky. 2014.
The Stanford CoreNLP Natural Language Processing Toolkit.
Association for Computational Linguistics (ACL) System Demonstrations.
[paper, bib]
The Stanford CoreNLP Natural Language Processing Toolkit
Manning , Christopher D. and Surdeanu , Mihai and Bauer , John and Finkel , Jenny and Bethard , Steven J. and McClosky , David
2014
Association for Computational Linguistics (ACL) System Demonstrations
Christopher D. Manning. 2015.
Computational Linguistics and Deep Learning.
Computational Linguistics.
[paper, bib]
Computational Linguistics and Deep Learning
Christopher D. Manning
2015
Computational Linguistics
Yijia Shao, Yucheng Jiang, Theodore Kanell, Peter Xu, Omar Khattab and Monica Lam. 2024.
Assisting in Writing W ikipedia-like Articles From Scratch with Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
[paper, bib]
Assisting in Writing W ikipedia-like Articles From Scratch with Large Language Models
Shao , Yijia and Jiang , Yucheng and Kanell , Theodore and Xu , Peter and Khattab , Omar and Lam , Monica
2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Nathanael Chambers and Dan Jurafsky. 2010.
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences.
Association for Computational Linguistics (ACL).
[paper, bib]
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences
Nathanael Chambers and Dan Jurafsky
2010
Association for Computational Linguistics (ACL)
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu and Percy Liang. 2017.
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood.
Association of Computational Linguistics (ACL).
[paper, bib]
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Guu , Kelvin and Pasupat , Panupong and Liu , Evan Zheran and Liang , Percy
2017
Association of Computational Linguistics (ACL)
Peng Qi and Christopher D. Manning. 2017.
Arc-swift: A Novel Transition System for Dependency Parsing.
Association for Computational Linguistics (ACL).
[paper, bib]
Arc-swift: A Novel Transition System for Dependency Parsing
Qi , Peng and Manning , Christopher D.
2017
Association for Computational Linguistics (ACL)
Alex Tamkin, Mike Wu and Noah Goodman. 2021.
Viewmaker Networks: Learning Views for Unsupervised Representation Learning.
International Conference on Learning Representations (ICLR 2021).
[paper, bib]
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Tamkin , Alex and Wu , Mike and Goodman , Noah
2021
International Conference on Learning Representations (ICLR 2021)
Rob Voigt and Dan Jurafsky. 2015.
The Users Who Say "Ni": Audience Identification in Chinese-language Restaurant Reviews.
Association for Computational Linguistics (ACL).
[paper, bib]
The Users Who Say ``Ni'': Audience Identification in Chinese-language Restaurant Reviews
Voigt , Rob and Jurafsky , Dan
2015
Association for Computational Linguistics (ACL)
Robin Jia and Percy Liang. 2017.
Adversarial Examples for Evaluating Reading Comprehension Systems.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia and Percy Liang
2017
Empirical Methods in Natural Language Processing (EMNLP)
Ben Taskar, Dan Klein, Michael Collins, Daphne Koller and Christopher D. Manning. 2004.
Max-Margin Parsing.
EMNLP.
[paper, bib]
Max-Margin Parsing
Ben Taskar and Dan Klein and Michael Collins and Daphne Koller and Christopher D. Manning
2004
EMNLP
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning and Quoc V. Le. 2019.
BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
ACL.
[paper, bib]
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark and Minh-Thang Luong and Urvashi Khandelwal and Christopher D. Manning and Quoc V. Le
2019
ACL
Michel Galley and Christopher D. Manning. 2010.
Accurate Non-Hierarchical Phrase-Based Translation.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Accurate Non-Hierarchical Phrase-Based Translation
Galley , Michel and Manning , Christopher D.
2010
North American Association for Computational Linguistics (NAACL)
Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky and Eduard Hovy. 2019.
Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms.
NAACL.
[paper, bib]
Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms
Diyi Yang and Jiaao Chen and Zichao Yang and Dan Jurafsky and Eduard Hovy
2019
NAACL
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D Goodman and Nick Haber. 2023.
Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions.
Thirty-seventh Conference on Neural Information Processing Systems.
[paper, bib]
Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions
Zelikman , Eric and Huang , Qian and Poesia , Gabriel and Goodman , Noah D and Haber , Nick
2023
Thirty-seventh Conference on Neural Information Processing Systems
Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel Bowman, Miriam Connor, John Bauer and Christopher D. Manning. 2014.
A Gold Standard Dependency Corpus for English.
Language Resources and Evaluation (LREC).
[paper, bib]
A Gold Standard Dependency Corpus for English
Natalia Silveira and Timothy Dozat and Marie-Catherine de Marneffe and Samuel Bowman and Miriam Connor and John Bauer and Christopher D. Manning
2014
Language Resources and Evaluation (LREC)
Lucia Zheng, Neel Guha, Brandon R Anderson, Peter Henderson and Daniel E Ho. 2021.
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset.
International Conference on Artificial Intelligence and Law (ICAIL).
[paper, bib]
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
Zheng , Lucia and Guha , Neel and Anderson , Brandon R and Henderson , Peter and Ho , Daniel E
2021
International Conference on Artificial Intelligence and Law (ICAIL)
Ethan A Chi, Julian Salazar and Katrin Kirchhoff. 2021.
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment.
Proceedings of the 2021 Conference of the North A merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).
[paper, bib]
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment
Chi , Ethan A and Salazar , Julian and Kirchhoff , Katrin
2021
Proceedings of the 2021 Conference of the North { A } merican Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers)
Caleb Ziems, William Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta and Diyi Yang. 2023.
Multi-VALUE: A Framework for Cross-Dialectal E nglish NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
[paper, bib]
Multi- VALUE : A Framework for Cross-Dialectal E nglish NLP
Ziems , Caleb and Held , William and Yang , Jingfeng and Dhamala , Jwala and Gupta , Rahul and Yang , Diyi
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Pi-Chuan Chang and Kristian Toutanova. 2007.
A Discriminative Syntactic Word Order Model for Machine Translation.
Association for Computational Linguistics (ACL).
[paper, bib]
A Discriminative Syntactic Word Order Model for Machine Translation
Pi-Chuan Chang and Kristian Toutanova
2007
Association for Computational Linguistics (ACL)
Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning and Curtis P. Langlotz. 2020.
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports.
Association for Computational Linguistics (ACL).
[paper, bib]
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Zhang , Yuhao and Merck , Derek and Tsai , Emily Bao and Manning , Christopher D. and Langlotz , Curtis P.
2020
Association for Computational Linguistics (ACL)
Adam Vogel, Max Bodoia, Christopher Potts and Dan Jurafsky. 2013.
Emergence of Gricean Maxims from Multi-Agent Decision Theory.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Emergence of Gricean Maxims from Multi-Agent Decision Theory
Adam Vogel and Max Bodoia and Christopher Potts and Dan Jurafsky
2013
North American Association for Computational Linguistics (NAACL)
Sebastian Schuster, Sonal Gupta, Shah Rushin and Mike Lewis. 2019.
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog.
North American Chapter of the Association of Computational Linguistics (NAACL).
[paper, bib]
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog
Schuster , Sebastian and Gupta , Sonal and Shah , Rushin , and Lewis , Mike
2019
North American Chapter of the Association of Computational Linguistics (NAACL)
Nicholas P. Camp, Rob Voigt, Dan Jurafsky and Jennifer L. Eberhardt. 2021.
The thin blue waveform: Racial disparities in officer prosody undermine institutional trust in the police.
Journal of Personality and Social Psychology.
[paper, bib]
The thin blue waveform: Racial disparities in officer prosody undermine institutional trust in the police
Nicholas P. Camp and Rob Voigt and Dan Jurafsky and Jennifer L. Eberhardt
2021
Journal of Personality and Social Psychology
Minh-Thang Luong, Michael C. Frank and Mark Johnson. 2013.
Parsing entire discourses as very long strings: C apturing topic continuity in grounded language learning.
Transactions of the Association for Computational Linguistics (TACL).
[paper, bib]
Parsing entire discourses as very long strings: C apturing topic continuity in grounded language learning
Luong , Minh-Thang and Frank , Michael C. and Johnson , Mark
2013
Transactions of the Association for Computational Linguistics (TACL)
Will Monroe, Noah D. Goodman and Christopher Potts. 2016.
Learning to Generate Compositional Color Descriptions.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Learning to Generate Compositional Color Descriptions
Monroe , Will and Goodman , Noah D. and Potts , Christopher
2016
Empirical Methods in Natural Language Processing (EMNLP)
Jenny Finkel, Shipra Dingare, Christopher D. Manning, Malvina Nissim, Beatrice Alex and Claire Grover. 2005.
Exploring the Boundaries: Gene and Protein Identification in Biomedical Text.
BMC Bioinformatics 6.
[paper, bib]
Exploring the Boundaries: Gene and Protein Identification in Biomedical Text
Jenny Finkel and Shipra Dingare and Christopher D. Manning and Malvina Nissim and Beatrice Alex and Claire Grover
2005
BMC Bioinformatics 6
Jiahong Yuan, Jason M. Brenier and Dan Jurafsky. 2005.
Pitch Accent Prediction: Effects of Genre and Speaker.
EUROSPEECH.
[paper, bib]
Pitch Accent Prediction: Effects of Genre and Speaker
Jiahong Yuan and Jason M. Brenier and Dan Jurafsky
2005
EUROSPEECH
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang and Jure Leskovec. 2022.
Deep Bidirectional Language-Knowledge Graph Pretraining.
Advances in Neural Information Processing Systems (NeurIPS).
[paper, bib]
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga and Antoine Bosselut and Hongyu Ren and Xikun Zhang and Christopher D. Manning and Percy Liang and Jure Leskovec
2022
Advances in Neural Information Processing Systems (NeurIPS)
Sonal Gupta and Christopher D. Manning . 2011.
Analyzing The Dynamics Of Research By Extracting Key Aspects Of Scientific Papers.
International Joint Conference on Natural Language Processing (IJCNLP) .
[paper, bib]
Analyzing The Dynamics Of Research By Extracting Key Aspects Of Scientific Papers
{ Sonal Gupta and Christopher D. Manning }
2011
{ International Joint Conference on Natural Language Processing (IJCNLP) }
Rion Snow Daniel Jurafsky and Andrew Y. Ng. 2006.
Semantic Taxonomy Induction from Heterogenous Evidence.
Association for Computational Linguistics (ACL).
[paper, bib]
Semantic Taxonomy Induction from Heterogenous Evidence
Rion Snow , Daniel Jurafsky , and Andrew Y. Ng
2006
Association for Computational Linguistics (ACL)
Gabor Angeli and Jakob Uszkoreit. 2013.
Language-Independent Discriminative Parsing of Temporal Expressions.
Association for Computational Linguistics (ACL).
[paper, bib]
Language-Independent Discriminative Parsing of Temporal Expressions
Gabor Angeli and Jakob Uszkoreit
2013
Association for Computational Linguistics (ACL)
Amita Kamath, Robin Jia and Percy Liang. 2020.
Selective Question Answering under Domain Shift.
Association for Computational Linguistics (ACL).
[paper, bib]
Selective Question Answering under Domain Shift
Amita Kamath and Robin Jia and Percy Liang
2020
Association for Computational Linguistics (ACL)
Abigail See and Christopher D. Manning. 2021.
Understanding and predicting user dissatisfaction in a neural generative chatbot.
Special Interest Group on Discourse and Dialogue (SIGDIAL).
[paper, bib]
Understanding and predicting user dissatisfaction in a neural generative chatbot
See , Abigail and Manning , Christopher D.
2021
Special Interest Group on Discourse and Dialogue (SIGDIAL)
Will Monroe, Jennifer Hu, Andrew Jong and Christopher Potts. 2018.
Generating Bilingual Pragmatic Color References.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
Generating Bilingual Pragmatic Color References
Monroe , Will and Hu , Jennifer and Jong , Andrew and Potts , Christopher
2018
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT)
Julian J. McAuley, Jure Leskovec and Dan Jurafsky. 2012.
Learning Attitudes and Attributes from Multi-Aspect Reviews.
International Conference on Data Mining.
[paper, bib]
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian J. McAuley and Jure Leskovec and Dan Jurafsky
2012
International Conference on Data Mining
Matthew Lamm, Arun Tejasvi Chaganty, Chrisopher D. Manning, Dan Jurafsky and Percy Liang. 2018.
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.
Empirical Methods in Natural Language Processing.
[paper, bib]
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts
Lamm , Matthew and Chaganty , Arun Tejasvi and Manning , Chrisopher D. and Jurafsky , Dan and Liang , Percy
2018
Empirical Methods in Natural Language Processing
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James Martin and Daniel Jurafsky. 2004.
Shallow semantic parsing using support vector machines.
NAACL-HLT.
[paper, bib]
Shallow semantic parsing using support vector machines
Sameer Pradhan and Wayne Ward and Kadri Hacioglu and James Martin and Daniel Jurafsky
2004
NAACL-HLT
Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang and Dorsa Sadigh. 2023.
"No, to the Right"--Online Language Corrections for Robotic Manipulation via Shared Autonomy.
ACM/IEEE Conference on Human-Robot Interaction (HRI).
[paper, bib]
``No , to the Right'' -- Online Language Corrections for Robotic Manipulation via Shared Autonomy
Cui , Yuchen and Karamcheti , Siddharth and Palleti , Raj and Shivakumar , Nidhya and Liang , Percy and Sadigh , Dorsa
2023
ACM/IEEE Conference on Human-Robot Interaction (HRI)
Siyan Li, Riley Carlson and Christopher Potts. 2022.
Systematicity in GPT-3's Interpretation of Novel English Noun Compounds.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Systematicity in GPT-3's Interpretation of Novel English Noun Compounds
Siyan Li and Riley Carlson and Christopher Potts
2022
Empirical Methods in Natural Language Processing (EMNLP)
Yuhao Zhang, Peng Qi and Christopher D. Manning. 2018.
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Zhang , Yuhao and Qi , Peng and Manning , Christopher D.
2018
Empirical Methods in Natural Language Processing (EMNLP)
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky and Joelle Pineau. 2020.
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning.
Journal of Machine Learning Research.
[paper, bib]
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson and Jieru Hu and Joshua Romoff and Emma Brunskill and Dan Jurafsky and Joelle Pineau
2020
Journal of Machine Learning Research
Benat Zapirain, Eneko Agirre, Lluis Marquez and Mihai Surdeanu. 2010.
Improving Semantic Role Classification with Selectional Preferences.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Improving Semantic Role Classification with Selectional Preferences
Zapirain , Benat and Agirre , Eneko and Marquez , Lluis and Surdeanu , Mihai
2010
North American Association for Computational Linguistics (NAACL)
Jenny Rose Finkel and Christopher D. Manning. 2009.
Hierarchical Bayesian Domain Adaptation.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Hierarchical Bayesian Domain Adaptation
Jenny Rose Finkel and Christopher D. Manning
2009
North American Association for Computational Linguistics (NAACL)
Jenny Rose Finkel, Alex Kleeman and Christopher D. Manning. 2008.
Efficient, Feature-based, Conditional Random Field Parsing.
Association for Computational Linguistics (ACL).
[paper, bib]
Efficient , Feature-based , Conditional Random Field Parsing
Jenny Rose Finkel and Alex Kleeman and Christopher D. Manning
2008
Association for Computational Linguistics (ACL)
Panupong Pasupat and Percy Liang. 2016.
Inferring Logical Forms From Denotations.
Association for Computational Linguistics (ACL).
[paper, bib]
Inferring Logical Forms From Denotations
Panupong Pasupat and Percy Liang
2016
Association for Computational Linguistics (ACL)
Diyi Yang, Robert Kraut, Tenbroeck Smith, Elijah Mayfield and Dan Jurafsky. 2019.
Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities.
CHI.
[paper, bib]
Seekers , Providers , Welcomers , and Storytellers: Modeling Social Roles in Online Health Communities
Diyi Yang and Robert Kraut and Tenbroeck Smith and Elijah Mayfield and Dan Jurafsky
2019
CHI
Siva Reddy, Danqi Chen and Christopher D Manning. 2019.
CoQA: A Conversational Question Answering Challenge.
Transactions of the Association for Computational Linguistics.
[paper, bib]
CoQA: A Conversational Question Answering Challenge
Reddy , Siva and Chen , Danqi and Manning , Christopher D
2019
Transactions of the Association for Computational Linguistics
Rion Snow Sushant Prakash Daniel Jurafsky and Andrew Y. Ng. 2007.
Learning to Merge Word Senses.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Learning to Merge Word Senses
Rion Snow , Sushant Prakash , Daniel Jurafsky , and Andrew Y. Ng
2007
Empirical Methods in Natural Language Processing (EMNLP)
Samuel R. Bowman, Christopher Potts and Christopher D. Manning. 2015.
Learning Distributed Word Representations for Natural Logic Reasoning.
Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches: Papers from the 2015 AAAI Spring Symposium.
[paper, bib]
Learning Distributed Word Representations for Natural Logic Reasoning
Bowman , Samuel R. and Potts , Christopher and Manning , Christopher D.
2015
Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches: Papers from the 2015 { AAAI } Spring Symposium
Satoshi Oyama and Christopher D. Manning. 2004.
Using feature conjunctions across examples for learning pairwise classifiers.
ECML.
[paper, bib]
Using feature conjunctions across examples for learning pairwise classifiers
Satoshi Oyama and Christopher D. Manning
2004
ECML
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev and Percy Liang. 2016.
SQuAD: 100, 000+ Questions for Machine Comprehension of Text.
Empirical Methods in Natural Language Processing (EMNLP).
arXiv preprint arXiv:1606.05250.
[paper, bib]
SQuAD: 100 , 000+ Questions for Machine Comprehension of Text
Rajpurkar , Pranav and Zhang , Jian and Lopyrev , Konstantin and Liang , Percy
2016
Empirical Methods in Natural Language Processing (EMNLP)
Dan Ramage, Christopher D. Manning and Dan A. McFarland. 2020.
Mapping three decades of intellectual change in academia.
ArXiv preprint arXiv:2004.01291.
[paper, bib]
Mapping three decades of intellectual change in academia
Dan Ramage and Christopher D. Manning and Dan A. McFarland
2020
ArXiv preprint arXiv:2004.01291
Kevin Reschke, Adam Vogel and Dan Jurafsky. 2013.
Generating Recommendation Dialogs by Extracting Information from User Reviews.
Proceedings of the 51st Annual Meeting of the A ssociation for C omputational L inguistics.
[paper, bib]
Generating Recommendation Dialogs by Extracting Information from User Reviews
Reschke , Kevin and Vogel , Adam and Jurafsky , Dan
2013
Proceedings of the 51st Annual Meeting of the { A } ssociation for { C } omputational { L } inguistics
Kevin Clark and Christopher D. Manning. 2016.
Deep Reinforcement Learning for Mention-Ranking Coreference Models.
Empirical Methods on Natural Language Processing.
[paper, bib]
Deep Reinforcement Learning for Mention-Ranking Coreference Models
Clark , Kevin and Manning , Christopher D.
2016
Empirical Methods on Natural Language Processing
Joan Bresnan, Shipra Dingare and Christopher D. Manning. 2001.
Soft Constraints Mirror Hard Constraints: Voice and Person in English and Lummi.
LFG01.
[paper, bib]
Soft Constraints Mirror Hard Constraints: Voice and Person in English and Lummi
Joan Bresnan and Shipra Dingare and Christopher D. Manning
2001
LFG01
T. Hashimoto, H. Zhang and P. Liang. 2019.
Unifying Human and Statistical Evaluation for Natural Language Generation.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Unifying Human and Statistical Evaluation for Natural Language Generation
T. Hashimoto and H. Zhang and P. Liang
2019
North American Association for Computational Linguistics (NAACL)
Marie-Catherine de Marneffe, Christopher D. Manning and Christopher Potts. 2011.
Veridicality and utterance understanding.
IEEE International Conference on Semantic Computing.
[paper, bib]
Veridicality and utterance understanding
Marie-Catherine de Marneffe and Christopher D. Manning and Christopher Potts
2011
IEEE International Conference on Semantic Computing
Ofer Dekel, Christopher D. Manning and Yoram Singer. 2004.
Log-Linear Models for Label Ranking.
Advances in Neural Information Processing Systems (NIPS).
[paper, bib]
Log-Linear Models for Label Ranking
Ofer Dekel and Christopher D. Manning and Yoram Singer
2004
Advances in Neural Information Processing Systems (NIPS)
Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh and Percy Liang. 2023.
Language-Driven Representation Learning for Robotics.
Robotics: Science and Systems (RSS).
[paper, bib]
Language-Driven Representation Learning for Robotics
Siddharth Karamcheti and Suraj Nair and Annie S. Chen and Thomas Kollar and Chelsea Finn and Dorsa Sadigh and Percy Liang
2023
Robotics: Science and Systems (RSS)
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning and Curtis P. Langlotz. 2018.
Learning to Summarize Radiology Findings.
EMNLP 2018 Workshop on Health Text Mining and Information Analysis.
[paper, bib]
Learning to Summarize Radiology Findings
Zhang , Yuhao and Ding , Daisy Yi and Qian , Tianpei and Manning , Christopher D. and Langlotz , Curtis P.
2018
EMNLP 2018 Workshop on Health Text Mining and Information Analysis
Cynthia A. Thompson, Roger Levy and Christopher D. Manning. 2003.
A Generative Model for Semantic Role Labeling.
ECML.
[paper, bib]
A Generative Model for Semantic Role Labeling
Cynthia A. Thompson and Roger Levy and Christopher D. Manning
2003
ECML
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting and Michael S. Bernstein. 2020.
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction.
Proceedings of the ACM on Human-Computer Interaction.
[paper, bib]
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
Cao , Hancheng and Yang , Vivian and Chen , Victor and Lee , Yu Jin and Stone , Lydia and Diarrassouba , N'godjigui Junior and Whiting , Mark E. and Bernstein , Michael S.
2020
Proceedings of the ACM on Human-Computer Interaction
K. Guu, J. Miller and P. Liang. 2015.
Traversing Knowledge Graphs in Vector Space.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Traversing Knowledge Graphs in Vector Space
K. Guu and J. Miller and P. Liang
2015
Empirical Methods in Natural Language Processing (EMNLP)
Spence Green, Marie-Catherine de Marneffe, John Bauer and Christopher D. Manning. 2011.
Multiword Expression Identification with Tree Substitution Grammars: A Parsing \textit Tour De Force with French.
EMNLP.
[paper, bib]
Multiword Expression Identification with Tree Substitution Grammars: A Parsing \textit Tour De Force with French
Green , Spence and de Marneffe , Marie-Catherine and Bauer , John and Manning , Christopher D.
2011
EMNLP
Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre and Christopher D. Manning. 2014.
Universal Stanford Dependencies: A cross-linguistic typology.
Language Resources and Evaluation Conference (LREC).
[paper, bib]
Universal Stanford Dependencies: A cross-linguistic typology
Marie-Catherine de Marneffe and Timothy Dozat and Natalia Silveira and Katri Haverinen and Filip Ginter and Joakim Nivre and Christopher D. Manning
2014
Language Resources and Evaluation Conference (LREC)
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan. 2016.
A Persona-Based Neural Conversation Model.
Association for Computational Linguistics (ACL)..
[paper, bib]
A Persona-Based Neural Conversation Model
Li , Jiwei and Galley , Michel and Brockett , Chris and Gao , Jianfeng and Dolan , Bill
2016
Association for Computational Linguistics (ACL).
Michael Hahn, Judith Degen, Noah Goodman, Dan Jurafsky and and Richard Futrell. 2018.
An information-theoretic explanation of adjective ordering preferences.
40th Annual Meeting of the Cognitive Science Society (CogSci).
[paper, bib]
An information-theoretic explanation of adjective ordering preferences
Michael Hahn and Judith Degen and Noah Goodman and Dan Jurafsky and and Richard Futrell
2018
40th Annual Meeting of the Cognitive Science Society (CogSci)
Hieu Pham, Thang Luong and Christopher Manning. 2015.
Learning Distributed Representations for Multilingual Text Sequences.
Workshop on Vector Space Modeling for Natural Language Processing.
[paper, bib]
Learning Distributed Representations for Multilingual Text Sequences
Pham , Hieu and Luong , Thang and Manning , Christopher
2015
Workshop on Vector Space Modeling for Natural Language Processing
Alex Tamkin, Miles Brundage, Jack Clark and Deep Ganguli. 2021.
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models.
arXiv:2102.02503.
[paper, bib]
Understanding the Capabilities , Limitations , and Societal Impact of Large Language Models
Tamkin , Alex and Brundage , Miles and Clark , Jack and Ganguli , Deep
2021
arXiv:2102.02503
Dan Klein and Christopher D. Manning. 2003.
Association for Computational Linguistics (ACL).
Accurate Unlexicalized Parsing.
[paper, bib]
Association for Computational Linguistics (ACL)
Dan Klein and Christopher D. Manning
2003
Accurate Unlexicalized Parsing
Wanxiang Che, Mengqiu Wang, Christopher D. Manning and Ting Liu. 2013.
Named Entity Recognition with Bilingual Constraints.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
Named Entity Recognition with Bilingual Constraints
Wanxiang Che and Mengqiu Wang and Christopher D. Manning and Ting Liu
2013
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)
Siddharth Karamcheti, Dorsa Sadigh and Percy Liang. 2020.
Learning Adaptive Language Interfaces through Decomposition.
EMNLP Workshop for Interactive and Executable Semantic Parsing (IntEx-SemPar).
[paper, bib]
Learning Adaptive Language Interfaces through Decomposition
Siddharth Karamcheti and Dorsa Sadigh and Percy Liang
2020
EMNLP Workshop for Interactive and Executable Semantic Parsing (IntEx-SemPar)
Miriam Corris, Christopher Manning, Susan Poetsch and Jane Simpson. 1999.
Dictionaries and endangered languages.
Endangered Languages Workshop.
[paper, bib]
Dictionaries and endangered languages
Miriam Corris and Christopher Manning and Susan Poetsch and Jane Simpson
1999
Endangered Languages Workshop
Sina Semnani, Violet Yao, Heidi Zhang and Monica Lam. 2023.
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on W ikipedia.
Findings of the Association for Computational Linguistics: EMNLP 2023.
[paper, bib]
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on W ikipedia
Semnani , Sina and Yao , Violet and Zhang , Heidi and Lam , Monica
2023
Findings of the Association for Computational Linguistics: EMNLP 2023
Nancy Xu, Sam Masling, Michael Du, Giovanni Campagna, Larry Heck, James Landay and Monica S Lam. 2021.
Grounding Open-Domain Instructions to Automate Web Support Tasks.
North American Chapter of the ACL (NAACL).
[paper, bib]
Grounding Open-Domain Instructions to Automate Web Support Tasks
Xu , Nancy and Masling , Sam and Du , Michael and Campagna , Giovanni and Heck , Larry and Landay , James and Lam , Monica S
2021
North American Chapter of the ACL (NAACL)
Christopher D Manning. 2022.
Human Language Understanding and Reasoning.
D \ae dalus.
[paper, bib]
Human Language Understanding and Reasoning
Manning , Christopher D
2022
D { \ae } dalus
Mengqiu Wang and Christopher D. Manning. 2012.
SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
SPEDE : Probabilistic Edit Distance Metrics for MT Evaluation
Mengqiu Wang and Christopher D. Manning
2012
North American Association for Computational Linguistics (NAACL)
Spence Green, Marie-Catherine de Marneffe and Christopher D. Manning. 2013.
Parsing models for identifying multiword expressions.
Comput. Linguist..
[paper, bib]
Parsing models for identifying multiword expressions
Green , Spence and de Marneffe , Marie-Catherine and Manning , Christopher D.
2013
Comput. Linguist.
Bill MacCartney and Christopher D. Manning. 2007.
Natural logic for textual inference.
Association for Computational Linguistics (ACL) Workshop on Textual Entailment and Paraphrasing.
[paper, bib]
Natural logic for textual inference
Bill MacCartney and Christopher D. Manning
2007
Association for Computational Linguistics (ACL) Workshop on Textual Entailment and Paraphrasing
Rion Snow, Daniel Jurafsky and Andrew Ng. 2005.
Learning syntactic patterns for automatic hypernym discovery.
Advances in Neural Information Processing Systems (NIPS).
[paper, bib]
Learning syntactic patterns for automatic hypernym discovery
Rion Snow and Daniel Jurafsky and Andrew Ng
2005
Advances in Neural Information Processing Systems (NIPS)
Kevin Clark and Christopher D. Manning. 2015.
Entity-Centric Coreference Resolution with Model Stacking.
Association for Computational Linguistics (ACL).
[paper, bib]
Entity-Centric Coreference Resolution with Model Stacking
Clark , Kevin and Manning , Christopher D.
2015
Association for Computational Linguistics (ACL)
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher Manning, Andrew Ng and Christopher Potts. 2013.
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.
EMNLP.
[paper, bib]
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher and Alex Perelygin and Jean Wu and Jason Chuang and Christopher Manning and Andrew Ng and Christopher Potts
2013
EMNLP
Dan Klein, Joseph Smarr, Huy Nguyen and Christopher D. Manning. 2003.
Named Entity Recognition with Character-Level Models.
Seventh Conference on Natural Language Learning.
[paper, bib]
Named Entity Recognition with Character-Level Models
Dan Klein and Joseph Smarr and Huy Nguyen and Christopher D. Manning
2003
Seventh Conference on Natural Language Learning
Nathanael Chambers and Dan Jurafsky. 2008.
Unsupervised Learning of Narrative Event Chains.
Association for Computational Linguistics-Human Language Technologies (ACL-HLT).
[paper, bib]
Unsupervised Learning of Narrative Event Chains
Nathanael Chambers and Dan Jurafsky
2008
Association for Computational Linguistics - Human Language Technologies (ACL-HLT)
Sida Wang, Roy Frostig, Percy Liang and Christopher D. Manning. 2014.
Relaxations for inference in restricted B oltzmann machines.
International Conference on Learning Representations (ICLR) Workshop Track.
[paper, bib]
Relaxations for inference in restricted B oltzmann machines
Sida Wang and Roy Frostig and Percy Liang and Christopher D. Manning
2014
International Conference on Learning Representations (ICLR) Workshop Track
Marie-Catherine de Marneffe and Christopher D. Manning. 2008.
The Stanford typed dependencies representation.
COLING Workshop on Cross-framework and Cross-domain Parser Evaluation.
[paper, bib]
The Stanford typed dependencies representation
Marie-Catherine de Marneffe and Christopher D. Manning
2008
COLING Workshop on Cross-framework and Cross-domain Parser Evaluation
Daniel Ramage, Anna N. Rafferty and Christopher D. Manning. 2009.
Random Walks for Text Semantic Similarity.
Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4).
[paper, bib]
Random Walks for Text Semantic Similarity
Ramage , Daniel and Rafferty , Anna N. and Manning , Christopher D.
2009
Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4)
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2012.
Capitalization Cues Improve Dependency Grammar Induction.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT) Workshop on Inducing Linguistic Structure (WILS).
[paper, bib]
Capitalization Cues Improve Dependency Grammar Induction
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2012
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) Workshop on Inducing Linguistic Structure (WILS)
Yuchen Zhang, Panupong Pasupat and Percy Liang. 2017.
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
Yuchen Zhang and Panupong Pasupat and Percy Liang
2017
Empirical Methods in Natural Language Processing (EMNLP)
David McClosky, Eugene Charniak and Mark Johnson. 2010.
Automatic Domain Adaptation for Parsing.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
Automatic Domain Adaptation for Parsing
David McClosky and Eugene Charniak and Mark Johnson
2010
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)
William L Hamilton, Jure Leskovec and Dan Jurafsky. 2016.
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
Hamilton , William L and Leskovec , Jure and Jurafsky , Dan
2016
Empirical Methods in Natural Language Processing (EMNLP)
Dan Klein and Christopher D. Manning. 2001.
An O(n3)O(n^3)O(n3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars.
Stanford University Technical Report.
[paper, bib]
An O(n3)O(n^3)O(n3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars
Dan Klein and Christopher D. Manning
2001
Stanford University Technical Report
Michihiro Yasunaga, Jure Leskovec and Percy Liang. 2022.
LinkBERT: Pretraining Language Models with Document Links.
Association for Computational Linguistics (ACL).
[paper, bib]
LinkBERT : Pretraining Language Models with Document Links
Michihiro Yasunaga and Jure Leskovec and Percy Liang
2022
Association for Computational Linguistics (ACL)
Ruth-Ann Armstrong, John Hewitt and Christopher D. Manning. 2022.
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset.
Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset
Armstrong , Ruth-Ann and Hewitt , John and Manning , Christopher D.
2022
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Yun-Hsuan Sung Thad Hughes Francoise Beaufays and Brian Strope. 2009.
Revisiting Graphemes with Increasing Amounts of Data.
IEEE ICASSP.
[paper, bib]
Revisiting Graphemes with Increasing Amounts of Data
Yun-Hsuan Sung , Thad Hughes , Francoise Beaufays , and Brian Strope
2009
IEEE ICASSP
Kristina Toutanova, Christopher D. Manning, Dan Flickinger and Stephan Oepen. 2005.
Stochastic HPSG Parse Disambiguation using the Redwoods Corpus.
Research in Language and Computation.
[paper, bib]
Stochastic HPSG Parse Disambiguation using the Redwoods Corpus
Kristina Toutanova and Christopher D. Manning and Dan Flickinger and Stephan Oepen
2005
Research in Language and Computation
Sida Wang and Christopher Manning. 2012.
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification.
Association for Computational Linguistics (ACL).
[paper, bib]
Baselines and Bigrams: Simple , Good Sentiment and Topic Classification
Sida Wang and Christopher Manning
2012
Association for Computational Linguistics (ACL)
Ethan A Chi, John Hewitt and Christopher D Manning. 2020.
Finding Universal Grammatical Relations in Multilingual BERT.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
[paper, bib]
Finding Universal Grammatical Relations in Multilingual BERT
Chi , Ethan A and Hewitt , John and Manning , Christopher D
2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Kevin Jansz, Christopher D. Manning and Nitin Indurkhya. 1999.
Kirrkirr: Interactive Visualisation And Multimedia From A Structured Warlpiri Dictionary.
AusWeb99, the Fifth Australian World Wide Web Conference.
[paper, bib]
Kirrkirr: Interactive Visualisation And Multimedia From A Structured Warlpiri Dictionary
Kevin Jansz and Christopher D. Manning and Nitin Indurkhya
1999
AusWeb99 , the Fifth Australian World Wide Web Conference
Rob Voigt and Dan Jurafsky. 2012.
Towards a Literary Machine Translation: The Role of Referential Cohesion.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT) Workshop on Computational Linguistics for Literature.
[paper, bib]
Towards a Literary Machine Translation: The Role of Referential Cohesion
Voigt , Rob and Jurafsky , Dan
2012
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) Workshop on Computational Linguistics for Literature
John Hewitt, John Thickstun, Christopher D. Manning and Percy Liang. 2023.
Backpack Language Models.
Association for Computational Linguistics (ACL).
[paper, bib]
Backpack Language Models
John Hewitt and John Thickstun and Christopher D. Manning and Percy Liang
2023
Association for Computational Linguistics (ACL)
Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. 2008.
Cheap and Fast-But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
Rion Snow and Brendan O'Connor and Daniel Jurafsky and Andrew Y. Ng
2008
Empirical Methods in Natural Language Processing (EMNLP)
Drew A Hudson and Christopher D Manning. 2019.
Learning by abstraction: The neural state machine.
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada.
[paper, bib]
Learning by abstraction: The neural state machine
Hudson , Drew A and Manning , Christopher D
2019
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019 , NeurIPS 2019 , December 8-14 , 2019 , Vancouver , BC , Canada
Elie Bursztein, Steven Bethard, John C. Mitchell, Dan Jurafsky and Celine Fabry. 2010.
How Good Are Humans At Solving CAPTCHAs? A Large Scale Evaluation.
IEEE Symposium on Security and Privacy.
[paper, bib]
How Good Are Humans At Solving CAPTCHAs? A Large Scale Evaluation
Elie Bursztein and Steven Bethard and John C. Mitchell and Dan Jurafsky and Celine Fabry
2010
IEEE Symposium on Security and Privacy
Kevin Clark and Christopher D. Manning. 2016.
Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
Association for Computational Linguistics (ACL).
[paper, bib]
Improving Coreference Resolution by Learning Entity-Level Distributed Representations
Clark , Kevin and Manning , Christopher D.
2016
Association for Computational Linguistics (ACL)
Marie-Catherine de Marneffe, Sebastian Pado and Christopher D. Manning. 2009.
Multi-word expressions in textual inference: M uch ado about nothing?
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP) Workshop on Applied Textual Inference.
[paper, bib]
Multi-word expressions in textual inference: M uch ado about nothing?
Marie-Catherine de Marneffe and Sebastian Pado and Christopher D. Manning
2009
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP) Workshop on Applied Textual Inference
Daniel Ramage, David Hall, Ramesh Nallapati and Christopher D. Manning. 2009.
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Labeled LDA : A supervised topic model for credit attribution in multi-labeled corpora
Ramage , Daniel and Hall , David and Nallapati , Ramesh and Manning , Christopher D.
2009
Empirical Methods in Natural Language Processing (EMNLP)
William Morgan Pi-Chuan Chang Surabhi Gupta and Jason M. Brenier. 2006.
Automatically Detecting Action Items in Audio Meeting Recordings.
SIGdial Workshop on Discourse and Dialogue.
[paper, bib]
Automatically Detecting Action Items in Audio Meeting Recordings
William Morgan , Pi-Chuan Chang , Surabhi Gupta , and Jason M. Brenier
2006
SIGdial Workshop on Discourse and Dialogue
Julia Neidert, Sebastian Schuster, Spence Green, Kenneth Heafield and Christopher D. Manning. 2014.
Stanford University’s Submissions to the WMT 2014 Translation Task.
Association for Computational Linguistics (ACL) Workshop on Statistical Machine Translation.
[paper, bib]
Stanford University’s Submissions to the WMT 2014 Translation Task
Julia Neidert and Sebastian Schuster and Spence Green and Kenneth Heafield and Christopher D. Manning
2014
Association for Computational Linguistics (ACL) Workshop on Statistical Machine Translation
Minh-Thang Luong and Christopher D. Manning. 2016.
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.
Association for Computational Linguistics (ACL).
[paper, bib]
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
Luong , Minh-Thang and Manning , Christopher D.
2016
Association for Computational Linguistics (ACL)
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2010.
From B aby S teps to L eapfrog: How " L ess is M ore" in Unsupervised Dependency Parsing.
North American Association for Computational Linguistics-Human Language Technologies (NAACL-HLT).
[paper, bib]
From B aby S teps to L eapfrog: How `` L ess is M ore'' in Unsupervised Dependency Parsing
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2010
North American Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)
Adam Vogel, Christopher Potts and Dan Jurafsky. 2013.
Implicatures and Nested Beliefs in Approximate D ecentralized-POMDP s.
Proceedings of the 51st Annual Meeting of the A ssociation for C omputational L inguistics.
[paper, bib]
Implicatures and Nested Beliefs in Approximate D ecentralized- POMDP s
Vogel , Adam and Potts , Christopher and Jurafsky , Dan
2013
Proceedings of the 51st Annual Meeting of the { A } ssociation for { C } omputational { L } inguistics
Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning and Andrew Y. Ng. 2014.
Grounded Compositional Semantics for Finding and Describing Images with Sentences.
Transactions of the Association for Computational Linguistics (TACL).
[paper, bib]
Grounded Compositional Semantics for Finding and Describing Images with Sentences
Richard Socher and Andrej Karpathy and Quoc V. Le and Christopher D. Manning and Andrew Y. Ng
2014
Transactions of the Association for Computational Linguistics (TACL)
Dan Klein and Christopher D. Manning. 2001.
Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank.
Association for Computational Linguistics (ACL).
[paper, bib]
Parsing with Treebank Grammars: Empirical Bounds , Theoretical Models , and the Structure of the Penn Treebank
Dan Klein and Christopher D. Manning
2001
Association for Computational Linguistics (ACL)
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2012.
Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models.
International Conference on Grammatical Inference.
[paper, bib]
Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2012
International Conference on Grammatical Inference
Sebastian Pado, Michel Galley, Dan Jurafsky and Christopher D. Manning. 2009.
Robust Machine Translation Evaluation with Entailment Features.
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP).
[paper, bib]
Robust Machine Translation Evaluation with Entailment Features
Pado , Sebastian and Galley , Michel and Jurafsky , Dan and Manning , Christopher D.
2009
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP)
Derek Chong, Jenny Hong and Christopher D Manning. 2022.
Detecting Label Errors by using Pre-Trained Language Models.
Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Detecting Label Errors by using Pre-Trained Language Models
Chong , Derek and Hong , Jenny and Manning , Christopher D
2022
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Timothy Dozat and Christopher D. Manning. 2017.
Deep Biaffine Attention for Neural Dependency Parsing.
International Conference on Learning Representations (ICLR).
[paper, bib]
Deep Biaffine Attention for Neural Dependency Parsing
Dozat , Timothy and Manning , Christopher D.
2017
International Conference on Learning Representations (ICLR)
Minh-Thang Luong, Timothy O'Donnell and Noah Goodman. 2015.
Evaluating Models of Computation and Storage in Human Sentence Processing.
Association for Computational Linguistics (ACL) Workshop on Cognitive Aspects of Computational Language Learning.
[paper, bib]
Evaluating Models of Computation and Storage in Human Sentence Processing
Luong , Minh-Thang and O'Donnell , Timothy and Goodman , Noah
2015
Association for Computational Linguistics (ACL) Workshop on Cognitive Aspects of Computational Language Learning
Kenneth Heafield, Michael Kayser and Christopher D. Manning. 2014.
Faster Phrase-Based Decoding by Refining Feature State.
Association for Computational Linguistics (ACL).
[paper, bib]
Faster Phrase-Based Decoding by Refining Feature State
Kenneth Heafield and Michael Kayser and Christopher D. Manning
2014
Association for Computational Linguistics (ACL)
Mihai Surdeanu and Christopher D. Manning. 2010.
Ensemble Models for Dependency Parsing: Cheap and Good?
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Ensemble Models for Dependency Parsing: Cheap and Good?
Surdeanu , Mihai and Manning , Christopher D.
2010
North American Association for Computational Linguistics (NAACL)
Vinodkumar Prabhakaran and Owen Rambow. 2017.
Dialog Structure Through the Lens of Gender, Gender Environment, and Power.
Dialogue & Discourse.
[paper, bib]
Dialog Structure Through the Lens of Gender , Gender Environment , and Power
Prabhakaran , Vinodkumar and Rambow , Owen
2017
Dialogue & Discourse
Sepandar D. Kamvar and Taher H. Haveliwala. 2003.
The Condition Number of the PageRank Problem.
Stanford University Technical Report.
[paper, bib]
The Condition Number of the PageRank Problem
Sepandar D. Kamvar and Taher H. Haveliwala
2003
Stanford University Technical Report
Miriam Corris, Christopher Manning, Susan Poetsch and Jane Simpson. 2004.
How useful and usable are dictionaries for speakers of Australian Indigenous languages?
International Journal of Lexicography 17.
[paper, bib]
How useful and usable are dictionaries for speakers of Australian Indigenous languages?
Miriam Corris and Christopher Manning and Susan Poetsch and Jane Simpson
2004
International Journal of Lexicography 17
Huihsin Tseng, Pichuan Chang, Galen Andrew, Daniel Jurafsky and Christopher D. Manning. 2005.
A Conditional Random Field Word Segmenter.
Fourth SIGHAN Workshop on Chinese Language Processing.
[paper, bib]
A Conditional Random Field Word Segmenter
Huihsin Tseng and Pichuan Chang and Galen Andrew and Daniel Jurafsky and Christopher D. Manning
2005
Fourth SIGHAN Workshop on Chinese Language Processing
Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre and Daniel Zeman. 2021.
Universal Dependencies.
Computational Linguistics (CL).
[paper, bib]
Universal Dependencies
Marie-Catherine de Marneffe and Christopher D. Manning and Joakim Nivre and Daniel Zeman
2021
Computational Linguistics (CL)
Marie-Catherine de Marneffe, Anna N. Rafferty and Christopher D. Manning. 2008.
Finding Contradictions in Text.
Association for Computational Linguistics-Human Language Technologies (ACL-HLT).
[paper, bib]
Finding Contradictions in Text
Marie-Catherine de Marneffe and Anna N. Rafferty and Christopher D. Manning
2008
Association for Computational Linguistics - Human Language Technologies (ACL-HLT)
Samuel R. Bowman, Gabor Angeli, Potts Christopher and Christopher D. Manning. 2015.
A large annotated corpus for learning natural language inference.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
A large annotated corpus for learning natural language inference
Bowman , Samuel R. and Angeli , Gabor and Potts , Christopher , and Manning , Christopher D.
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Surabhi Gupta Ani Nenkova and Dan Jurafsky. 2007.
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization.
Association for Computational Linguistics (ACL).
[paper, bib]
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
Surabhi Gupta , Ani Nenkova , and Dan Jurafsky
2007
Association for Computational Linguistics (ACL)
Sida I. Wang, Arun Chaganty and Percy Liang. 2015.
Estimating Mixture Models via Mixture of Polynomials.
Advances in Neural Information Processing Systems (NIPS).
[paper, bib]
Estimating Mixture Models via Mixture of Polynomials
Sida I. Wang and Arun Chaganty and Percy Liang
2015
Advances in Neural Information Processing Systems (NIPS)
Valentin I. Spitkovsky and Angel X. Chang. 2011.
Strong Baselines for Cross-Lingual Entity Linking.
Text Analysis Conference (TAC).
[paper, bib]
Strong Baselines for Cross-Lingual Entity Linking
Spitkovsky , Valentin I. and Chang , Angel X.
2011
Text Analysis Conference (TAC)
Sonal Gupta and Christopher D. Manning. 2014.
Improved Pattern Learning for Bootstrapped Entity Extraction.
Computational Natural Language Learning (CoNLL).
[paper, bib]
Improved Pattern Learning for Bootstrapped Entity Extraction
Sonal Gupta and Christopher D. Manning
2014
Computational Natural Language Learning (CoNLL)
Vinodkumar Prabhakaran and Owen Rambow. 2016.
A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels.
Language Resources and Evaluation (LREC).
[paper, bib]
A Corpus of Wikipedia Discussions: Over the Years , with Topic , Power and Gender Labels
Prabhakaran , Vinodkumar and Rambow , Owen
2016
Language Resources and Evaluation (LREC)
Dan Jurafsky Jason M. Brenier Ani Nenkova Anubha Kothari Laura Whitton David Beaver. 2006.
The (Non)Utility of Linguistic Features for Predicting Prominence in Spontaneous Speech.
IEEE/ACL Workshop on Spoken Language Technology.
[paper, bib]
The (Non)Utility of Linguistic Features for Predicting Prominence in Spontaneous Speech
Jason M. Brenier , Ani Nenkova , Anubha Kothari , Laura Whitton , David Beaver , Dan Jurafsky
2006
IEEE/ACL Workshop on Spoken Language Technology
Elisa Kreiss, Fei Fang, Noah D Goodman and Christopher Potts. 2022.
Concadia: Towards Image-Based Text Generation with a Purpose.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Concadia: Towards Image-Based Text Generation with a Purpose
Kreiss , Elisa and Fang , Fei and Goodman , Noah D and Potts , Christopher
2022
Empirical Methods in Natural Language Processing (EMNLP)
Pi-Chuan Chang, Michel Galley and Chris Manning. 2008.
Optimizing Chinese Word Segmentation for Machine Translation Performance.
Association for Computational Linguistics (ACL) Workshop on Statistical Machine Translation.
[paper, bib]
Optimizing Chinese Word Segmentation for Machine Translation Performance
Pi-Chuan Chang and Michel Galley and Chris Manning
2008
Association for Computational Linguistics (ACL) Workshop on Statistical Machine Translation
Daniel Cer, Marie-Catherine de Marneffe, Daniel Jurafsky and Christopher D. Manning. 2010.
Parsing to Stanford Dependencies: Trade-offs between speed and accuracy.
7th International Conference on Language Resources and Evaluation (LREC 2010).
[paper, bib]
Parsing to Stanford Dependencies: Trade-offs between speed and accuracy
Daniel Cer and Marie-Catherine { de Marneffe } and Daniel Jurafsky and Christopher D. Manning
2010
7th International Conference on Language Resources and Evaluation (LREC 2010)
Dan Iter, Kelvin Guu, Larry Lansing and Dan Jurafsky. 2020.
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models.
Association for Computational Linguistics (ACL).
[paper, bib]
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Iter , Dan and Guu , Kelvin and Lansing , Larry and Jurafsky , Dan
2020
Association for Computational Linguistics (ACL)
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro and Dan Jurafsky. 2019.
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.
17th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
Demszky , Dorottya and Garg , Nikhil and Voigt , Rob and Zou , James and Gentzkow , Matthew and Shapiro , Jesse and Jurafsky , Dan
2019
17th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Adam Vogel, Andr é s G ó mez Emilsson, Michael C. Frank, Dan Jurafsky and Christopher Potts. 2014.
Learning to Reason Pragmatically with Cognitive Limitations.
Proceedings of the 36th Annual Meeting of the C ognitive S cience S ociety.
[paper, bib]
Learning to Reason Pragmatically with Cognitive Limitations
Vogel , Adam and G { \'o } mez Emilsson , Andr { \'e } s and Frank , Michael C. and Jurafsky , Dan and Potts , Christopher
2014
Proceedings of the 36th Annual Meeting of the { C } ognitive { S } cience { S } ociety
Ashton Anderson, Dan McFarland and Dan Jurafsky. 2012.
Towards A Computational History Of The ACL: 1980-2008.
Association for Computational Linguistics (ACL) Workshop on Rediscovering 50 Years of Discoveries .
[paper, bib]
Towards A Computational History Of The ACL: 1980-2008
Ashton Anderson and Dan McFarland and Dan Jurafsky
2012
{ Association for Computational Linguistics (ACL) Workshop on Rediscovering 50 Years of Discoveries }
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan. 2016.
A diversity-promoting objective function for neural conversation models.
North American Association for Computational Linguistics (NAACL)..
[paper, bib]
A diversity-promoting objective function for neural conversation models
Li , Jiwei and Galley , Michel and Brockett , Chris and Gao , Jianfeng and Dolan , Bill
2016
North American Association for Computational Linguistics (NAACL).
David McClosky, Wanxiang Che, Marta Recasens, Mengqiu Wang, Richard Socher and Christopher D. Manning. 2012.
Stanford’s System for Parsing the English Web.
North American Association for Computational Linguistics (NAACL) Workshop on Syntactic Analysis of Non-Canonical Language (SANCL).
[paper, bib]
Stanford’s System for Parsing the English Web
David McClosky and Wanxiang Che and Marta Recasens and Mengqiu Wang and Richard Socher and Christopher D. Manning ,
2012
North American Association for Computational Linguistics (NAACL) Workshop on Syntactic Analysis of Non-Canonical Language (SANCL)
Vivek Kumar Rangarajan Sridhar, Ani Nenkova, Shrikanth Narayanan and Dan Jurafsky. 2008.
Detecting prominence in conversational speech: pitch accent, givenness and focus.
Speech Prosody.
[paper, bib]
Detecting prominence in conversational speech: pitch accent , givenness and focus
Vivek Kumar Rangarajan Sridhar and Ani Nenkova and Shrikanth Narayanan and Dan Jurafsky
2008
Speech Prosody
Ashwin Paranjape and Christopher Manning. 2021.
Human-like informative conversations: Better acknowledgements using conditional mutual information.
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).
[paper, bib]
Human-like informative conversations: Better acknowledgements using conditional mutual information
Paranjape , Ashwin and Manning , Christopher
2021
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec and Christopher Potts. 2013.
A computational approach to politeness with application to social factors.
Association for Computational Linguistics (ACL).
[paper, bib]
A computational approach to politeness with application to social factors
Cristian Danescu-Niculescu-Mizil and Moritz Sudhof and Dan Jurafsky and Jure Leskovec and Christopher Potts
2013
Association for Computational Linguistics (ACL)
K. Werling, A. Chaganty, P. Liang and C. Manning. 2015.
On-the-Job Learning with B ayesian Decision Theory.
Advances in Neural Information Processing Systems (NIPS).
[paper, bib]
On-the-Job Learning with B ayesian Decision Theory
K. Werling and A. Chaganty and P. Liang and C. Manning
2015
Advances in Neural Information Processing Systems (NIPS)
David McClosky and Christopher D. Manning. 2012.
Learning Constraints for Consistent Timeline Extraction.
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).
[paper, bib]
Learning Constraints for Consistent Timeline Extraction
David McClosky and Christopher D. Manning
2012
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Mengqiu Wang, Rob Voigt and Christopher D. Manning. 2014.
Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition.
Association for Computational Linguistics (ACL).
[paper, bib]
Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition
Wang , Mengqiu and Voigt , Rob and Manning , Christopher D.
2014
Association for Computational Linguistics (ACL)
David McClosky, Mihai Surdeanu and Christopher D. Manning. 2011.
Event Extraction as Dependency Parsing for BioNLP 2011.
BioNLP Workshop.
[paper, bib]
Event Extraction as Dependency Parsing for BioNLP 2011
David McClosky and Mihai Surdeanu and Christopher D. Manning
2011
BioNLP Workshop
Taher H. Haveliwala, Sepandar D. Kamvar and Glen Jeh. 2003.
An Analytical Comparison of Approaches to Personalizing PageRank.
Stanford University Technical Report.
[paper, bib]
An Analytical Comparison of Approaches to Personalizing PageRank
Taher H. Haveliwala and Sepandar D. Kamvar and Glen Jeh
2003
Stanford University Technical Report
Nikhil Johri, Daniel Ramage, Daniel A. McFarland and Daniel Jurafsky. 2011.
A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model.
Association for Computational Linguistics (ACL) Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities.
[paper, bib]
A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model
Johri , Nikhil and Ramage , Daniel and McFarland , Daniel A. and Jurafsky , Daniel
2011
Association for Computational Linguistics (ACL) Workshop on Language Technology for Cultural Heritage , Social Sciences , and Humanities
Rajesh Ranganath, Dan Jurafsky and Dan McFarland. 2009.
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
It's Not You , it's Me: Detecting Flirting and its Misperception in Speed-Dates
Rajesh Ranganath and Dan Jurafsky and Dan McFarland
2009
Empirical Methods in Natural Language Processing (EMNLP)
Elie Bursztein, Angelique Moscicki, Celine Fabry, Steven Bethard, John C. Mitchell and Dan Jurafsky. 2014.
Easy Does It: M ore Usable CAPTCHAs.
Association for Computing Machinery-Computer-Human Interaction (ACM-CHI).
[paper, bib]
Easy Does It: M ore Usable CAPTCHAs
Elie Bursztein and Angelique Moscicki and Celine Fabry and Steven Bethard and John C. Mitchell and Dan Jurafsky
2014
Association for Computing Machinery - Computer-Human Interaction (ACM-CHI)
Kristina Toutanova, Christopher D. Manning, Stuart M. Shieber, Dan Flickinger and Stephan Oepen. 2002.
Parse Disambiguation for a Rich HPSG Grammar.
First Workshop on Treebanks and Linguistic Theories (TLT2002).
[paper, bib]
Parse Disambiguation for a Rich HPSG Grammar
Kristina Toutanova and Christopher D. Manning and Stuart M. Shieber and Dan Flickinger and Stephan Oepen
2002
First Workshop on Treebanks and Linguistic Theories (TLT2002)
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang and Jure Leskovec. 2021.
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering.
North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Michihiro Yasunaga and Hongyu Ren and Antoine Bosselut and Percy Liang and Jure Leskovec
2021
North American Chapter of the Association for Computational Linguistics (NAACL)
S Green and C D Manning. 2010.
Better Arabic Parsing: Baselines, Evaluations, and Analysis.
COLING.
[paper, bib]
Better Arabic Parsing: Baselines , Evaluations , and Analysis
Green , S and Manning , C D
2010
COLING
Iddo Lev, Bill MacCartney, Christopher D. Manning and Roger Levy. 2004.
Solving logic puzzles: from robust processing to precise semantics.
ACL 2004 Workshop on Text Meaning and Interpretation.
[paper, bib]
Solving logic puzzles: from robust processing to precise semantics
Iddo Lev and Bill MacCartney and Christopher D. Manning and Roger Levy
2004
ACL 2004 Workshop on Text Meaning and Interpretation
David McClosky, Mihai Surdeanu and Chris Manning. 2011.
Event Extraction as Dependency Parsing.
Association for Computational Linguistics-Human Language Technologies (ACL-HLT).
[paper, bib]
Event Extraction as Dependency Parsing
David McClosky and Mihai Surdeanu and Chris Manning
2011
Association for Computational Linguistics - Human Language Technologies (ACL-HLT)
Alex Tamkin, Dat Pham Nguyen, Salil Deshpande, Jesse Mu and Noah Goodman. 2022.
Active Learning Helps Pretrained Models Learn the Intended Task.
Neural Information Processing Systems (NeurIPS).
[paper, bib]
Active Learning Helps Pretrained Models Learn the Intended Task
Alex Tamkin and Dat Pham Nguyen and Salil Deshpande and Jesse Mu and Noah Goodman
2022
Neural Information Processing Systems (NeurIPS)
Julie Tibshirani and Christopher D. Manning. 2014.
Robust Logistic Regression using Shift Parameters.
Association for Computational Linguistics (ACL).
[paper, bib]
Robust Logistic Regression using Shift Parameters
Julie Tibshirani and Christopher D. Manning
2014
Association for Computational Linguistics (ACL)
Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding and Christopher D. Manning. 2013.
Learning Biological Processes with Global Constraints.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Learning Biological Processes with Global Constraints
Scaria , Aju Thalappillil and Jonathan Berant and Mengqiu Wang and Peter Clark and Justin Lewis and Brittany Harding and Christopher D. Manning
2013
Empirical Methods in Natural Language Processing (EMNLP)
Siddharth Karamcheti, Raj Palleti, Yuchen Cui, Percy Liang and Dorsa Sadigh. 2022.
Shared Autonomy for Robotic Manipulation with Language Corrections.
Workshop on Learning with Natural Language Supervision @ ACL 2022.
[paper, bib]
Shared Autonomy for Robotic Manipulation with Language Corrections
Karamcheti , Siddharth and Palleti , Raj and Cui , Yuchen and Liang , Percy and Sadigh , Dorsa
2022
Workshop on Learning with Natural Language Supervision @ ACL 2022
Megha Srivastava and Noah Goodman. 2021.
Question Generation for Adaptive Education.
Association for Computational Linguistics (ACL).
[paper, bib]
Question Generation for Adaptive Education
Srivastava , Megha and Goodman , Noah
2021
Association for Computational Linguistics (ACL)
Christopher D. Manning Marie-Catherine de Marneffe and Christopher Potts. 2012.
Did it happen? The pragmatic complexity of veridicality assessment.
Computational Linguistics.
[paper, bib]
Did it happen? The pragmatic complexity of veridicality assessment
Marie-Catherine { de Marneffe } , Christopher D. Manning and Christopher Potts
2012
Computational Linguistics
Mihai Surdeanu, David McClosky, Mason R. Smith, Andrey Gusev and Christopher D. Manning. 2011.
Customizing an Information Extraction System to a New Domain.
Workshop on Relational Models of Semantics.
[paper, bib]
Customizing an Information Extraction System to a New Domain
Mihai Surdeanu and David McClosky and Mason R. Smith and Andrey Gusev and Christopher D. Manning
2011
Workshop on Relational Models of Semantics
Reid Pryzant, Young-joo Chung and Dan Jurafsky. 2017.
Predicting Sales from the Language of Product Descriptions.
Special Interest Group on Information Retrieval (SIGIR) eCommerce Workshop.
[paper, bib]
Predicting Sales from the Language of Product Descriptions
Pryzant , Reid and Chung , Young-joo and Jurafsky , Dan
2017
Special Interest Group on Information Retrieval (SIGIR) eCommerce Workshop
Mihai Surdeanu, Sonal Gupta, John Bauer, David McClosky, Angel X. Chang, Valentin I. Spitkovsky and Christopher D. Manning. 2011.
Stanford's Distantly-Supervised Slot-Filling System.
Text Analysis Conference (TAC).
[paper, bib]
Stanford's Distantly-Supervised Slot-Filling System
Surdeanu , Mihai and Gupta , Sonal and Bauer , John and McClosky , David and Chang , Angel X. and Spitkovsky , Valentin I. and Manning , Christopher D.
2011
Text Analysis Conference (TAC)
Aljoscha Burchardt, Sebastian Pado, Dennis Spohr, Anette Frank and Ulrich Heid. 2008.
Constructing Integrated Corpus and Lexicon Models for Multi-Layer Annotation in OWL DL.
Linguistic Issues in Language Technologies.
[paper, bib]
Constructing Integrated Corpus and Lexicon Models for Multi-Layer Annotation in OWL DL
Aljoscha Burchardt and Sebastian Pado and Dennis Spohr and Anette Frank and Ulrich Heid
2008
Linguistic Issues in Language Technologies
Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe, Daniel Cer and Christopher D. Manning. 2006.
Learning to recognize features of valid textual entailments.
North American Association for Computational Linguistics (NAACL).
[paper, bib]
Learning to recognize features of valid textual entailments
Bill MacCartney and Trond Grenager and Marie-Catherine de Marneffe and Daniel Cer and Christopher D. Manning
2006
North American Association for Computational Linguistics (NAACL)
Daniel Ramage, Paul Heymann, Christopher D. Manning and Hector Garcia-Molina. 2009.
Clustering the Tagged Web.
Second ACM International Conference on Web Search and Data Mining (WSDM 2009).
[paper, bib]
Clustering the Tagged Web
Daniel Ramage and Paul Heymann and Christopher D. Manning and Hector Garcia-Molina
2009
Second ACM International Conference on Web Search and Data Mining (WSDM 2009)
Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng and Christopher D. Manning . 2011.
Dynamic Pooling And Unfolding Recursive Autoencoders For Paraphrase Detection.
Advances in Neural Information Processing Systems 24 .
[paper, bib]
Dynamic Pooling And Unfolding Recursive Autoencoders For Paraphrase Detection
{ Richard Socher and Eric H. Huang and Jeffrey Pennington and Andrew Y. Ng and Christopher D. Manning }
2011
{ Advances in Neural Information Processing Systems 24 }
Mihai Surdeanu, Massimiliano Ciaramita and Hugo Zaragoza. 2011.
Learning to Rank Answers to Non-Factoid Questions from Web Collections.
Computational Linguistics.
[paper, bib]
Learning to Rank Answers to Non-Factoid Questions from Web Collections
Mihai Surdeanu and Massimiliano Ciaramita and Hugo Zaragoza
2011
Computational Linguistics
Eric H. Huang, Richard Socher, Christopher D. Manning and Andrew Y. Ng. 2012.
Improving Word Representations via Global Context and Multiple Word Prototypes.
Association for Computational Linguistics (ACL).
[paper, bib]
Improving Word Representations via Global Context and Multiple Word Prototypes
Eric H. Huang and Richard Socher and Christopher D. Manning and Andrew Y. Ng
2012
Association for Computational Linguistics (ACL)
Sepandar D. Kamvar, Taher H. Haveliwala and Gene H. Golub. 2003.
Adaptive Methods for the Computation of PageRank.
Linear Algebra and its Applications, Special Issue on the Numerical Solution of Markov Chains.
[paper, bib]
Adaptive Methods for the Computation of PageRank
Sepandar D. Kamvar and Taher H. Haveliwala and Gene H. Golub
2003
Linear Algebra and its Applications , Special Issue on the Numerical Solution of Markov Chains
Christopher D. Manning, Kevin Jansz and Nitin Indurkhya. 2001.
Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary.
Literary and Linguistic Computing, 16(2).
[paper, bib]
Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary
Christopher D. Manning and Kevin Jansz and Nitin Indurkhya
2001
Literary and Linguistic Computing , 16(2)
Yuhao Zhang, Arun Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi and Christopher D Manning. 2016.
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.
Text Analysis Conference (TAC).
[paper, bib]
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese
Zhang , Yuhao and Chaganty , Arun and Paranjape , Ashwin and Chen , Danqi and Bolton , Jason and Qi , Peng and Manning , Christopher D
2016
Text Analysis Conference (TAC)
Minh-Thang Luong, Michael Kayser and Christopher D. Manning. 2015.
Deep Neural Language Models for Machine Translation.
Conference on Natural Language Learning (CoNLL).
[paper, bib]
Deep Neural Language Models for Machine Translation
Luong , Minh-Thang and Kayser , Michael and Manning , Christopher D.
2015
Conference on Natural Language Learning (CoNLL)
Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec and Christopher Potts. 2013.
No country for old members: User lifecycle and linguistic change in online communities.
World Wide Web Conference (WWW).
[paper, bib]
No country for old members: User lifecycle and linguistic change in online communities
Cristian Danescu-Niculescu-Mizil and Robert West and Dan Jurafsky and Jure Leskovec and Christopher Potts
2013
World Wide Web Conference (WWW)
Robert Munro. 2011.
Subword And Spatiotemporal Models For Identifying Actionable Information In Haitian Kreyol.
Computational Natural Language Learning (CoNLL 2011) .
[paper, bib]
Subword And Spatiotemporal Models For Identifying Actionable Information In Haitian Kreyol
Robert Munro
2011
{ Computational Natural Language Learning (CoNLL 2011) }
Abigail See, Minh-Thang Luong and Christopher D. Manning. 2016.
Compression of Neural Machine Translation Models via Pruning.
Computational Natural Language Learning (CoNLL).
[paper, bib]
Compression of Neural Machine Translation Models via Pruning
Abigail See and Minh-Thang Luong and Christopher D. Manning
2016
Computational Natural Language Learning (CoNLL)
Sebastian Schuster, Éric Villemonte de la Clergerie, Marie Candito, Benoît Sagot, Christopher D. Manning and Djamé Seddah. 2017.
Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations.
The 2017 Shared Task on Extrinsic Parser Evaluation at the Fourth International Conference on Dependency Linguistics and the 15th International Conference on Parsing Technologies (EPE2017).
[paper, bib]
Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations
Schuster , Sebastian and Villemonte de la Clergerie , \'Eric and Candito , Marie and Sagot , Beno\^it and Manning , Christopher D. and Seddah , Djam\'e
2017
The 2017 Shared Task on Extrinsic Parser Evaluation at the Fourth International Conference on Dependency Linguistics and the 15th International Conference on Parsing Technologies (EPE2017)
Nathanael Chambers and Dan Jurafsky. 2011.
Template-Based Information Extraction without the Templates.
Association for Computational Linguistics (ACL).
[paper, bib]
Template-Based Information Extraction without the Templates
Nathanael Chambers and Dan Jurafsky
2011
Association for Computational Linguistics (ACL)
Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky and Martijn Wieling. 2023.
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation.
Association for Computational Linguistics (ACL).
[paper, bib]
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation
Bartelds , Martijn and San , Nay and McDonnell , Bradley and Jurafsky , Dan and Wieling , Martijn
2023
Association for Computational Linguistics (ACL)
Kelvin Guu, John Miller and Percy Liang. 2015.
Traversing Knowledge Graphs in Vector Space.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Traversing Knowledge Graphs in Vector Space
Kelvin Guu and John Miller and Percy Liang
2015
Empirical Methods in Natural Language Processing (EMNLP)
Mihai Surdeanu, Ramesh Nallapati and Christopher D. Manning. 2011.
Risk Analysis for Intellectual Property Litigation.
International Conference on Artificial Intelligence and Law.
[paper, bib]
Risk Analysis for Intellectual Property Litigation
Surdeanu , Mihai and Nallapati , Ramesh and Manning , Christopher D.
2011
International Conference on Artificial Intelligence and Law
Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman and Nick Haber. 2023.
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency
Eric Zelikman and Wanjing Anya Ma and Jasmine E. Tran and Diyi Yang and Jason D. Yeatman and Nick Haber
2023
Empirical Methods in Natural Language Processing (EMNLP)
Giovanni Campagna, Sina Semnani, Ryan Kearns, Lucas Jun Koba Sato, Silei Xu and Monica Lam. 2022.
A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation.
Findings of the Association for Computational Linguistics: ACL 2022.
[paper, bib]
A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation
Campagna , Giovanni and Semnani , Sina and Kearns , Ryan and Koba Sato , Lucas Jun and Xu , Silei and Lam , Monica
2022
Findings of the Association for Computational Linguistics: ACL 2022
Christopher Manning and Kristen Parton. 2001.
What's needed for lexical databases? Experiences with Kirrkirr.
IRCS Workshop on Linguistic Databases.
[paper, bib]
What's needed for lexical databases? Experiences with Kirrkirr
Christopher Manning and Kristen Parton
2001
IRCS Workshop on Linguistic Databases
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov and Christopher D. Manning. 2018.
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
HotpotQA : A Dataset for Diverse , Explainable Multi-hop Question Answering
Yang , Zhilin and Qi , Peng and Zhang , Saizheng and Bengio , Yoshua and Cohen , William W. and Salakhutdinov , Ruslan and Manning , Christopher D.
2018
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
Marie-Catherine de Marneffe, Christopher D. Manning and Christopher Potts. 2010.
"Was it good? It was provocative. " Learning the meaning of scalar adjectives.
Association for Computational Linguistics (ACL).
[paper, bib]
``Was it good? It was provocative. " Learning the meaning of scalar adjectives
Marie-Catherine { de Marneffe } and Christopher D. Manning and Christopher Potts
2010
Association for Computational Linguistics (ACL)
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2009.
Baby Steps: How "Less is More" in Unsupervised Dependency Parsing.
Neural Information Processing Systems (NIPS) Workshop on Grammar Induction, Representation of Language and Language Learning (GRLL).
[paper, bib]
Baby Steps: How ``Less is More'' in Unsupervised Dependency Parsing
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2009
Neural Information Processing Systems (NIPS) Workshop on Grammar Induction , Representation of Language and Language Learning (GRLL)
Bas Hofstra, Vivek V. Kulkarni, Sebastian Munoz-Najar Galvez, Bryan He, Dan Jurafsky and Daniel A. McFarland. 2020.
The Diversity-Innovation Paradox in Science.
Proceedings of the National Academy of Sciences (PNAS).
[paper, bib]
The Diversity-Innovation Paradox in Science
Bas Hofstra and Vivek V. Kulkarni and Sebastian Munoz-Najar Galvez and Bryan He and Dan Jurafsky and Daniel A. McFarland
2020
Proceedings of the National Academy of Sciences (PNAS)
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi and Percy Liang. 2018.
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration.
International Conference on Learning Representations (ICLR).
[paper, bib]
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
Evan Zheran Liu and Kelvin Guu and Panupong Pasupat and Tianlin Shi and Percy Liang
2018
International Conference on Learning Representations (ICLR)
Kristina Toutanova, Christopher D. Manning and Andrew Y. Ng. 2004.
Learning Random Walk Models for Inducing Word Dependency Distributions.
International Conference on Machine Learning (ICML).
[paper, bib]
Learning Random Walk Models for Inducing Word Dependency Distributions
Kristina Toutanova and Christopher D. Manning and Andrew Y. Ng
2004
International Conference on Machine Learning (ICML)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni and Romain Laroche. 2021.
The Emergence of the Shape Bias Results from Communicative Efficiency.
25th Conference on Computational Natural Language Learning (CoNLL).
[paper, bib]
The Emergence of the Shape Bias Results from Communicative Efficiency
Portelance , Eva and Frank , Michael C. and Jurafsky , Dan and Sordoni , Alessandro and Laroche , Romain
2021
25th Conference on Computational Natural Language Learning (CoNLL)
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers and Daniel Zeman. 2020.
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection.
Language Resources and Evaluation Conference (LREC).
[paper, bib]
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Nivre , Joakim and de Marneffe , Marie-Catherine and Ginter , Filip and Hajic , Jan and Manning , Christopher D. and Pyysalo , Sampo and Schuster , Sebastian and Tyers , Francis and Zeman , Daniel
2020
Language Resources and Evaluation Conference (LREC)
J. Berant and P. Liang. 2014.
Semantic Parsing via Paraphrasing.
Association for Computational Linguistics (ACL).
[paper, bib]
Semantic Parsing via Paraphrasing
J. Berant and P. Liang
2014
Association for Computational Linguistics (ACL)
F. Khani, M. Rinard and P. Liang. 2016.
Unanimous Prediction for 100 Precision with Application to Learning Semantic Mappings.
Association for Computational Linguistics (ACL).
[paper, bib]
Unanimous Prediction for 100 Precision with Application to Learning Semantic Mappings
F. Khani and M. Rinard and P. Liang
2016
Association for Computational Linguistics (ACL)
R. Socher, M. Ganjoo, H. Sridhar, O. Bastani, C. D. Manning and A. Y. Ng.. 2013.
Zero-Shot Learning Through Cross-Modal Transfer.
International Conference on Learning Representations (ICLR) Workshop Track.
[paper, bib]
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher and M. Ganjoo and H. Sridhar and O. Bastani and C. D. Manning and A. Y. Ng.
2013
International Conference on Learning Representations (ICLR) Workshop Track
Daniel Kang and Tatsunori B. Hashimoto. 2020.
Improved Natural Language Generation via Loss Truncation.
Association for Computational Linguistics (ACL).
[paper, bib]
Improved Natural Language Generation via Loss Truncation
Daniel Kang and Tatsunori B. Hashimoto
2020
Association for Computational Linguistics (ACL)
Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning and Daniel Jurafsky. 2014.
Event Extraction Using Distant Supervision.
Language Resources and Evaluation Conference (LREC).
[paper, bib]
Event Extraction Using Distant Supervision
Kevin Reschke and Martin Jankowiak and Mihai Surdeanu and Christopher D. Manning and Daniel Jurafsky
2014
Language Resources and Evaluation Conference (LREC)
Dan Klein and Christopher D. Manning. 2003.
A* Parsing: Fast Exact Viterbi Parse Selection.
HLT-NAACL.
[paper, bib]
A* Parsing: Fast Exact Viterbi Parse Selection
Dan Klein and Christopher D. Manning
2003
HLT-NAACL
Mengqiu Wang and Christopher D. Manning. 2013.
Learning a Product of Experts with Elitist Lasso.
International Joint Conference on Natural Language Processing (IJCNLP).
[paper, bib]
Learning a Product of Experts with Elitist Lasso
Mengqiu Wang and Christopher D. Manning
2013
International Joint Conference on Natural Language Processing (IJCNLP)
Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer Eberhardt and Dan Jurafsky. 2018.
Detecting Institutional Dialog Acts in Police Traffic Stops.
Transactions of the Association for Computational Linguistics.
[paper, bib]
Detecting Institutional Dialog Acts in Police Traffic Stops
Prabhakaran , Vinodkumar and Griffiths , Camilla and Su , Hang and Verma , Prateek and Morgan , Nelson and Eberhardt , Jennifer and Jurafsky , Dan
2018
Transactions of the Association for Computational Linguistics
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals and Lukasz Kaiser. 2016.
Multi-task Sequence to Sequence Learning.
International Conference on Learning Representations (ICLR).
[paper, bib]
Multi-task Sequence to Sequence Learning
Luong , Minh-Thang and Le , Quoc V. and Sutskever , Ilya and Vinyals , Oriol and Kaiser , Lukasz
2016
International Conference on Learning Representations (ICLR)
Kai Sheng Tai, Richard Socher and Christopher D. Manning. 2015.
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.
Association for Computational Linguistics (ACL).
[paper, bib]
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Tai , Kai Sheng and Socher , Richard and Manning , Christopher D.
2015
Association for Computational Linguistics (ACL)
Danqi Chen, Adam Fisch, Jason Weston and Antoine Bordes. 2017.
Reading Wikipedia to Answer Open-Domain Questions.
Association for Computational Linguistics (ACL).
[paper, bib]
Reading Wikipedia to Answer Open-Domain Questions
Chen , Danqi and Fisch , Adam and Weston , Jason and Bordes , Antoine
2017
Association for Computational Linguistics (ACL)
Kristina Toutanova Dan Klein Christopher D. Manning and Yoram Singer. 2003.
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network.
HLT-NAACL.
[paper, bib]
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Kristina Toutanova , Dan Klein , Christopher D. Manning , and Yoram Singer
2003
HLT-NAACL
Mengqiu Wang and Daniel Cer. 2012.
Stanford: Probabilistic Edit Distance Metrics for STS.
Semantic Textual Similarity (STS) Shared Task at SemEval Workshop.
[paper, bib]
Stanford: Probabilistic Edit Distance Metrics for STS
Mengqiu Wang and Daniel Cer
2012
Semantic Textual Similarity (STS) Shared Task at SemEval Workshop
Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky. 2011.
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Lateen EM : Unsupervised Training with Multiple Objectives , Applied to Dependency Grammar Induction
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel
2011
Empirical Methods in Natural Language Processing (EMNLP)
Arun Tejasvi Chaganty, Stephen Mussmann and Percy Liang. 2018.
The price of debiasing automatic metrics in natural language evaluation.
Association for Computational Linguistics (ACL).
[paper, bib]
The price of debiasing automatic metrics in natural language evaluation
Arun Tejasvi Chaganty and Stephen Mussmann and Percy Liang
2018
Association for Computational Linguistics (ACL)
William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky and Jure Leskovec. 2017.
Loyalty in Online Communities.
International Conference on the Web and Social Media (ICWSM).
[paper, bib]
Loyalty in Online Communities
Hamilton , William L. and Zhang , Justine and Danescu-Niculescu-Mizil , Cristian and Jurafsky , Dan and Leskovec , Jure
2017
International Conference on the Web and Social Media (ICWSM)
Robert Munro and Christopher D. Manning. 2010.
Subword Variation In Text Message Classification.
North American Association for Computational Linguistics (NAACL) .
[paper, bib]
Subword Variation In Text Message Classification
Robert Munro and Christopher D. Manning
2010
{ North American Association for Computational Linguistics (NAACL) }
Keenon Werling, Gabor Angeli and Christopher D. Manning. 2015.
Robust Subgraph Generation Improves Abstract Meaning Representation Parsing.
Association for Computational Linguistics (ACL).
[paper, bib]
Robust Subgraph Generation Improves Abstract Meaning Representation Parsing
Keenon Werling and Gabor Angeli and Christopher D. Manning
2015
Association for Computational Linguistics (ACL)
Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky and Christopher D. Manning. 2009.
Discriminative Reordering with C hinese Grammatical Relations Features.
Workshop on Syntax and Structure in Statistical Translation.
[paper, bib]
Discriminative Reordering with C hinese Grammatical Relations Features
Chang , Pi-Chuan and Tseng , Huihsin and Jurafsky , Dan and Manning , Christopher D.
2009
Workshop on Syntax and Structure in Statistical Translation
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Chang and Daniel Jurafsky. 2011.
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
Spitkovsky , Valentin I. and Alshawi , Hiyan and Chang , Angel X. and Jurafsky , Daniel
2011
Empirical Methods in Natural Language Processing (EMNLP)
Mengqiu Wang and Christopher D. Manning. 2013.
Effect of Nonlinear Deep Architecture in Sequence Labeling.
ICML 2013 workshop on Deep Learning for Audio, Speech and Language Processing.
[paper, bib]
Effect of Nonlinear Deep Architecture in Sequence Labeling
Mengqiu Wang and Christopher D. Manning
2013
ICML 2013 workshop on Deep Learning for Audio , Speech and Language Processing
Stefan Wager, Sida I. Wang and Percy Liang. 2013.
Dropout Training as Adaptive Regularization.
Neural Information Processing Systems (NIPS).
[paper, bib]
Dropout Training as Adaptive Regularization
Wager , Stefan and Wang , Sida I. and Liang , Percy
2013
Neural Information Processing Systems (NIPS)
Sebastian Schuster, Yuxing Chen and Judith Degen. 2020.
Harnessing the linguistic signal to predict scalar inferences.
Association for Computational Linguistics (ACL).
[paper, bib]
Harnessing the linguistic signal to predict scalar inferences
Schuster , Sebastian and Chen , Yuxing and Degen , Judith
2020
Association for Computational Linguistics (ACL)
Christopher D. Manning. 2003.
Probabilistic Syntax.
Probabilistic Linguistics.
[paper, bib]
Probabilistic Syntax
Christopher D. Manning
2003
Probabilistic Linguistics
Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky and Yulia Tsvetkov. 2018.
RtGender: A Corpus for Studying Differential Responses to Gender.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018).
[paper, bib]
RtGender: A Corpus for Studying Differential Responses to Gender
Rob Voigt and David Jurgens and Vinodkumar Prabhakaran and Dan Jurafsky and Yulia Tsvetkov
2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Gabor Angeli and Christopher Manning. 2013.
Philosophers are Mortal: Inferring the Truth of Unseen Facts.
Conference on Natural Language Learning (CoNLL).
[paper, bib]
Philosophers are Mortal: Inferring the Truth of Unseen Facts
Gabor Angeli and Christopher Manning
2013
Conference on Natural Language Learning (CoNLL)
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky and Christopher D. Manning. 2010.
Viterbi Training Improves Unsupervised Dependency Parsing.
Computational Natural Language Learning (CoNLL).
[paper, bib]
Viterbi Training Improves Unsupervised Dependency Parsing
Spitkovsky , Valentin I. and Alshawi , Hiyan and Jurafsky , Daniel and Manning , Christopher D.
2010
Computational Natural Language Learning (CoNLL)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning and Jure Leskovec. 2022.
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering.
International Conference on Learning Representations (ICLR).
[paper, bib]
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Zhang , Xikun and Bosselut , Antoine and Yasunaga , Michihiro and Ren , Hongyu and Liang , Percy and Manning , Christopher D and Leskovec , Jure
2022
International Conference on Learning Representations (ICLR)
Gabor Angeli, Victor Zhong, Danqi Chen, Arun Chaganty, Jason Bolton, Melvin Johnson Premkumar, Panupong Pasupat, Sonal Gupta and Christopher D Manning. 2015.
Bootstrapped self training for knowledge base population.
Text Analysis Conference (TAC 2015).
[paper, bib]
Bootstrapped self training for knowledge base population
Angeli , Gabor and Zhong , Victor and Chen , Danqi and Chaganty , Arun and Bolton , Jason and Premkumar , Melvin Johnson and Pasupat , Panupong and Gupta , Sonal and Manning , Christopher D
2015
Text Analysis Conference (TAC 2015)
Mina Lee, Percy Liang and Qian Yang. 2022.
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities.
Conference on Human Factors in Computing Systems (CHI).
[paper, bib]
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
Mina Lee and Percy Liang and Qian Yang
2022
Conference on Human Factors in Computing Systems (CHI)
Ziang Xie, Sida I. Wang, Jiwei Li, Daniel L é vy, Aiming Nie, Dan Jurafsky and Andrew Y. Ng. 2017.
Data Noising as Smoothing in Neural Network Language Models.
International Conference on Learning Representations (ICLR).
[paper, bib]
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie and Sida I. Wang and Jiwei Li and Daniel L { \'e } vy and Aiming Nie and Dan Jurafsky and Andrew Y. Ng
2017
International Conference on Learning Representations (ICLR)
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter and Dan Jurafsky. 2017.
Adversarial Learning for Neural Dialogue Generation.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Adversarial Learning for Neural Dialogue Generation
Li , Jiwei and Monroe , Will and Shi , Tianlin and Jean , S\'ebastien and Ritter , Alan and Jurafsky , Dan
2017
Empirical Methods in Natural Language Processing (EMNLP)
Howard R. Strasberg, Christopher D. Manning, Thomas C. Rindfleisch and Kenneth L. Melmon. 2000.
What's related? Generalizing approaches to related articles in medicine.
AMIA Fall Symposium 2000.
[paper, bib]
What's related? Generalizing approaches to related articles in medicine
Howard R. Strasberg and Christopher D. Manning and Thomas C. Rindfleisch and Kenneth L. Melmon
2000
AMIA Fall Symposium 2000
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua Greene, Dan Jurafsky, Christopher Potts and Lauri Karttunen. 2019.
Recursive Routing Networks: Learning to Compose Modules for Language Understanding.
17th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
Cases , Ignacio and Rosenbaum , Clemens and Riemer , Matthew and Geiger , Atticus and Klinger , Tim and Tamkin , Alex and Li , Olivia and Agarwal , Sandhini and Greene , Joshua and Jurafsky , Dan and Potts , Christopher and Karttunen , Lauri
2019
17th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Sasha Calhoun, Jean Carletta, Jason M. Brenier, Neil Mayo, Dan Jurafsky, Mark Steedman and David Beaver. 2010.
The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue.
Language Resources \& Evaluation.
[paper, bib]
The NXT -format Switchboard Corpus : a rich resource for investigating the syntax , semantics , pragmatics and prosody of dialogue
Sasha Calhoun and Jean Carletta and Jason M. Brenier and Neil Mayo and Dan Jurafsky and Mark Steedman and David Beaver
2010
Language Resources \& Evaluation
Christopher D. Manning, Ivan A. Sag and Masayo Iida. 1999.
The Lexical Integrity of Japanese Causatives.
Studies in Contemporary Phrase Structure Grammar.
[paper, bib]
The Lexical Integrity of Japanese Causatives
Christopher D. Manning and Ivan A. Sag and Masayo Iida
1999
Studies in Contemporary Phrase Structure Grammar
Jenny Rose Finkel, Trond Grenager and Christopher D. Manning. 2007.
The Infinite Tree.
Association for Computational Linguistics (ACL).
[paper, bib]
The Infinite Tree
Jenny Rose Finkel and Trond Grenager and Christopher D. Manning
2007
Association for Computational Linguistics (ACL)
Srijan Kumar, William L. Hamilton, Jure Leskovec and Dan Jurafsky. 2018.
Community Interaction and Conflict on the Web.
Proceedings of The Web Conference (WWW).
[paper, bib]
Community Interaction and Conflict on the Web
Srijan Kumar and William L. Hamilton and Jure Leskovec and Dan Jurafsky
2018
Proceedings of The Web Conference (WWW)
Spence Green, Sida Wang, Daniel Cer and Christopher D. Manning. 2013.
Fast and Adaptive Online Training of Feature-Rich Translation Models.
Association for Computational Linguistics (ACL).
[paper, bib]
Fast and Adaptive Online Training of Feature-Rich Translation Models
Green , Spence and Wang , Sida and Cer , Daniel and Manning , Christopher D.
2013
Association for Computational Linguistics (ACL)
Kevin Clark, Minh-Thang Luong, Christopher D. Manning and Quoc V. Le. 2018.
Semi-Supervised Sequence Modeling with Cross-View Training.
EMNLP.
[paper, bib]
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark and Minh-Thang Luong and Christopher D. Manning and Quoc V. Le
2018
EMNLP
Mihai Surdeanu, David McClosky, Julie Tibshirani, John Bauer, Angel X. Chang, Valentin I. Spitkovsky and Christopher D. Manning. 2010.
A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task.
Text Analysis Conference (TAC).
[paper, bib]
A Simple Distant Supervision Approach for the TAC - KBP Slot Filling Task
Surdeanu , Mihai and McClosky , David and Tibshirani , Julie and Bauer , John and Chang , Angel X. and Spitkovsky , Valentin I. and Manning , Christopher D.
2010
Text Analysis Conference (TAC)
Christian Buck, Kenneth Heafield and Bas van Ooyen. 2014.
N-gram Counts and Language Models from the Common Crawl.
Language Resources and Evaluation Conference (LREC).
[paper, bib]
N-gram Counts and Language Models from the Common Crawl
Christian Buck and Kenneth Heafield and Bas van Ooyen
2014
Language Resources and Evaluation Conference (LREC)
Mengqiu Wang and Christopher D. Manning. 2012.
Probabilistic Finite State Machines for Regression-based MT Evaluation.
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).
[paper, bib]
Probabilistic Finite State Machines for Regression-based MT Evaluation
Mengqiu Wang and Christopher D. Manning
2012
Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Jenny Rose Finkel and Christopher D. Manning. 2009.
Nested Named Entity Recognition.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Nested Named Entity Recognition
Jenny Rose Finkel and Christopher D. Manning
2009
Empirical Methods in Natural Language Processing (EMNLP)
Minh-Thang Luong, Hieu Pham and Christopher D. Manning. 2015.
Effective Approaches to Attention-based Neural Machine Translation.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Effective Approaches to Attention-based Neural Machine Translation
Luong , Minh-Thang and Pham , Hieu and Manning , Christopher D.
2015
Empirical Methods in Natural Language Processing (EMNLP)
Vijay Krishnan and Christopher D. Manning. 2006.
21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (ACL).
.
[paper, bib]
21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (ACL)
Vijay Krishnan and Christopher D. Manning
2006
Panupong Pasupat, Tian-Shun Jiang, Evan Liu, Kelvin Guu and Percy Liang. 2018.
Mapping Natural Language Commands to Web Elements.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
Mapping Natural Language Commands to Web Elements
Panupong Pasupat and Tian-Shun Jiang and Evan Liu and Kelvin Guu and Percy Liang
2018
Empirical Methods in Natural Language Processing (EMNLP)
Robert Munro and Christopher D. Manning. 2012.
Short message communications: users, topics, and in-language processing.
Computing for Development (ACM DEV 2012) .
[paper, bib]
Short message communications: users , topics , and in-language processing
Robert Munro and Christopher D. Manning
2012
{ Computing for Development (ACM DEV 2012) }
Timothy Dozat and Christopher D. Manning. 2018.
Simpler but More Accurate Semantic Dependency Parsing.
Association of Computational Linguistics (ACL).
[paper, bib]
Simpler but More Accurate Semantic Dependency Parsing
Dozat , Timothy and Manning , Christopher D.
2018
Association of Computational Linguistics (ACL)
John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang and Christopher D. Manning. 2020.
RNNs can generate bounded hierarchical languages with optimal memory.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
RNNs can generate bounded hierarchical languages with optimal memory
John Hewitt and Michael Hahn and Surya Ganguli and Percy Liang and Christopher D. Manning
2020
Empirical Methods in Natural Language Processing (EMNLP)
Pranav Rajpurkar, Robin Jia and Percy Liang. 2018.
Know What You Don't Know: Unanswerable Questions for SQuAD.
Association for Computational Linguistics (ACL).
[paper, bib]
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar and Robin Jia and Percy Liang
2018
Association for Computational Linguistics (ACL)
Richard Socher, Milind Ganjoo, Christopher D. Manning and Andrew Y. Ng . 2013.
Zero Shot Learning Through Cross-Modal Transfer.
Advances in Neural Information Processing Systems 26 .
[paper, bib]
Zero Shot Learning Through Cross-Modal Transfer
{ Richard Socher and Milind Ganjoo and Christopher D. Manning and Andrew Y. Ng }
2013
{ Advances in Neural Information Processing Systems 26 }
Hang Jiang, Haoshen Hong, Yuxing Chen and Vivek Kulkarni. 2020.
DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions.
Proceedings of the Society for Computation in Linguistics.
[paper, bib]
DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions
Jiang , Hang and Hong , Haoshen and Chen , Yuxing and Kulkarni , Vivek
2020
Proceedings of the Society for Computation in Linguistics
Christopher D. Manning Nathanael Chambers Daniel Cer Trond Grenager David Hall Chloe Kiddon Bill MacCartney Marie-Catherine de Marneffe Daniel Ramage Eric Yeh. 2007.
Learning Alignments and Leveraging Natural Logic.
Association for Computational Linguistics (ACL) Workshop on Textual Entailment and Paraphrasing.
[paper, bib]
Learning Alignments and Leveraging Natural Logic
Nathanael Chambers , Daniel Cer , Trond Grenager , David Hall , Chloe Kiddon , Bill MacCartney , Marie-Catherine de Marneffe , Daniel Ramage , Eric Yeh , Christopher D. Manning
2007
Association for Computational Linguistics (ACL) Workshop on Textual Entailment and Paraphrasing
Dan Klein and Christopher D. Manning. 2003.
Fast Exact Inference with a Factored Model for Natural Language Parsing.
Advances in Neural Information Processing Systems 15 (NIPS 2002).
[paper, bib]
Fast Exact Inference with a Factored Model for Natural Language Parsing
Dan Klein and Christopher D. Manning
2003
Advances in Neural Information Processing Systems 15 (NIPS 2002)
Roger Levy and Christopher D. Manning. 2003.
Is it harder to parse Chinese, or the Chinese Treebank?
Association for Computational Linguistics (ACL).
[paper, bib]
Is it harder to parse Chinese , or the Chinese Treebank?
Roger Levy and Christopher D. Manning
2003
Association for Computational Linguistics (ACL)
Michel Galley and Christopher D. Manning. 2008.
A Simple and Effective Hierarchical Phrase Reordering Model.
Empirical Methods in Natural Language Processing (EMNLP).
[paper, bib]
A Simple and Effective Hierarchical Phrase Reordering Model
Michel Galley and Christopher D. Manning
2008
Empirical Methods in Natural Language Processing (EMNLP)
Shikhar Murty, Christopher Manning, Scott Lundberg and Marco Tulio Ribeiro. 2022.
Fixing Model Bugs with Natural Language Patches.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.
[paper, bib]
Fixing Model Bugs with Natural Language Patches
Murty , Shikhar and Manning , Christopher and Lundberg , Scott and Ribeiro , Marco Tulio
2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Daniel Ramage, Susan Dumais and Dan Liebling. 2010.
Characterizing Microblogs with Topic Models.
ICWSM.
[paper, bib]
Characterizing Microblogs with Topic Models
Ramage , Daniel and Dumais , Susan and Liebling , Dan
2010
ICWSM
S. I. Wang, S. Ginn, P. Liang and C. D. Manning. 2017.
Naturalizing a Programming Language via Interactive Learning.
Association for Computational Linguistics (ACL).
[paper, bib]
Naturalizing a Programming Language via Interactive Learning
S. I. Wang and S. Ginn and P. Liang and C. D. Manning
2017
Association for Computational Linguistics (ACL)
Benjamin Newman, Kai-Siang Ang, Julia Gong and John Hewitt. 2021.
Refining Targeted Syntactic Evaluation of Language Models.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
[paper, bib]
Refining Targeted Syntactic Evaluation of Language Models
Newman , Benjamin and Ang , Kai-Siang and Gong , Julia and Hewitt , John
2021
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
Justine T. Kao and Dan Jurafsky. 2015.
A computational analysis of poetic style: Imagism and its influence on modern professional and amateur poetry.
Linguistic Issues in Language Technology.
[paper, bib]
A computational analysis of poetic style: Imagism and its influence on modern professional and amateur poetry
Kao , Justine T. and Dan Jurafsky
2015
Linguistic Issues in Language Technology