Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders (original) (raw)
Related papers
FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017
Generation in machine translation from deep syntactic trees
Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation - SSST '07, 2007
Data-driven sentence generation with non-isomorphic trees
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015
Recursive Top-Down Production for Sentence Generation with Latent Trees
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017
Shared Task Proposal: Multilingual Surface Realization Using Universal Dependency Trees
Proceedings of the 10th International Conference on Natural Language Generation, 2017
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Broad Coverage Multilingual Deep Sentence Generation with a Stochastic MultiLevel Realizer
2010
Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016
Scalable Cross-lingual Treebank Synthesis for Improved Production Dependency Parsers
Proceedings of the 28th International Conference on Computational Linguistics: Industry Track, 2020
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Multilingual Surface Realization Using Universal Dependency Trees
2017
Promoting Graph Awareness in Linearized Graph-to-Text Generation
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2017
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
Proceedings of the First Workshop on Multilingual Surface Realisation
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Classifiers for data-driven deep sentence generation
2014
A Deep Architecture for Non-Projective Dependency Parsing
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015
Transformer-Based Neural Text Generation with Syntactic Guidance
arXiv (Cornell University), 2020
Statistical language generation from semantic structures
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies
2021
BME-TUW at SR’20: Lexical grammar induction for surface realization
2020
Neural Language Generation: Formulation, Methods, and Evaluation
ArXiv, 2020
TreeNet: Learning Sentence Representations with Unconstrained Tree Structure
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Learning Natural Language Generation from Scratch
2021
Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies