Distributed Representations of Words to Guide Bootstrapped Entity Classifiers (original) (raw)

Improved Pattern Learning for Bootstrapped Entity Extraction

Christopher D Manning

Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

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Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction

Munu Sairamesh

2018

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Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models

Aparna Garimella

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

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Representation Learning for Information Extraction

Ehsan Amjadian

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Supervised Entity and Relation Extraction

Mason Smith

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A Practical Incremental Learning Framework For Sparse Entity Extraction

Krishnaprasad Thirunarayan

ArXiv, 2018

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Distant Supervision of Named Entity Recognition

Omar Meriwani

An assignment in text analytics CSEE University of Essex, 2019

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Integrating Information to Bootstrap Information Extraction from Web Sites

Alexiei Dingli

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A Comprehensive Review of Bootstrapping Pattern Learning Techniques in Information Extraction

Manisha Mali

2021

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A bootstrapping approach to named entity classification using successive learners

Cheng Niu

… of the 41st Annual Meeting on …, 2003

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Stacked generalization for information extraction

Costas Spyropoulos

2004

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Unsupervised named-entity extraction from the Web: An experimental study

Ana Maria

Artificial Intelligence, 2005

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A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers

Aditi Chaudhary

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019

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Accelerating the annotation of sparse named entities by dynamic sentence selection

Junichi Tsujii

BMC Bioinformatics, 2008

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Entity extraction without language-specific resources

James Mayfield

proceeding of the 6th conference on Natural language learning - COLING-02, 2002

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Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible

Abhijeet Gupta

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)

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Information Extraction from Wikipedia Using Pattern Learning

Márton Miháltz

Acta Cybern., 2010

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Optimising selective sampling for bootstrapping named entity recognition

Beatrice Alex

Proceedings of the ICML- …, 2005

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Collective Segmentation and Labeling of Distant Entities in Information Extraction

Andrew McCallum

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Named Entity Recognition for Partially Annotated Datasets

amine Trabelsi

arXiv (Cornell University), 2022

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A Stacked, Voted, Stacked Model for Named Entity Recognition

Dekai Wu

2003

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Relation Extraction from the Web Using Distant Supervision

Diana Maynard

Lecture Notes in Computer Science, 2014

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Distantly Supervised Web Relation Extraction for Knowledge Base Population

Isabelle Augenstein, Diana Maynard

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Bootstrapping for Text Learning Tasks

Andrew McCallum

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DOMAIN-TRANSFERABLE METHOD FOR NAMED ENTITY RECOGNITION TASK

Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)

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Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron

Michael Collins

2002

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Applying Machine Learning for High-Performance Named-Entity Extraction

Vibhu Mittal

Computational Intelligence, 2000

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Integrating Word Embedding Offsets into the Espresso System for Part-Whole Relation Extraction

Yuji Matsumoto

2016

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Unsupervised Models for Named Entity Classification

Michael Collins

1999

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Building Distant Supervised Relation Extractors

Daniel Schwabe

2014 IEEE International Conference on Semantic Computing, 2014

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A Resource-Based Method for Named Entity Extraction and Classification

Marcos Garcia

Lecture Notes in Computer Science, 2011

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Fine grained classification of named entities

Claudio Giuliano

Proceedings of the 19th international conference on Computational linguistics -, 2002

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