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Who cites «LSTM CCG Parsing»

49 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Is CCGbank Semantically Valid? Insights from Negation Scope Analysis — 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
  2. Holographic CCG Parsing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Proof Net Structure for Neural Lambek Categorial Parsing — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
  4. Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories — 2021 · Transactions of the Association for Computational Linguistics
  5. Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  6. Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  7. Supertagging with CCG primitives — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
  8. ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  9. Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  10. Benchmarking Approximate Inference Methods for Neural Structured Prediction — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  11. Constructive Type-Logical Supertagging With Self-Attention Networks — 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
  12. Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch — 2019 · arXiv:1909.02955
  13. Hierarchically-Refined Label Attention Network for Sequence Labeling — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  14. Linguistic Knowledge and Transferability of Contextual Representations — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  15. Syntax-aware Neural Semantic Role Labeling with Supertags — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  16. Wide-Coverage Neural A* Parsing for Minimalist Grammars — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  17. \AE THEL: Automatically Extracted Typelogical Derivations for Dutch — 2019 · arXiv:1912.12635 · Proceedings of The 12th Language Resources and Evaluation Conference (2020)
  18. AMR dependency parsing with a typed semantic algebra — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  19. Constraining MGbank: Agreement, L-Selection and Supertagging in Minimalist Grammars — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. End-to-End Graph-Based TAG Parsing with Neural Networks — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  21. Targeted Syntactic Evaluation of Language Models — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  22. Valency-Augmented Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  23. Alto: Rapid Prototyping for Parsing and Translation — our card · 2017 · Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
  24. In-Order Transition-based Constituent Parsing — 2017 · Transactions of the Association for Computational Linguistics
  25. Linguistically Rich Vector Representations of Supertags for TAG Parsing — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
  26. TAG Parsing with Neural Networks and Vector Representations of Supertags — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  27. Global Neural CCG Parsing with Optimality Guarantees — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  28. Human-in-the-Loop Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  29. LSTM Shift-Reduce CCG Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  30. Shift-Reduce CCG Parsing using Neural Network Models — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  31. Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations — our card · 2016
  32. Supertagging With LSTMs — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  33. bernard-2018-fine-grained-discourse-structures-continuation
  34. bhargava-2024-lcgbank-corpus-syntactic-analyses-based
  35. bladier-2018-german-french-neural-supertagging-experiments
  36. blodgett-2019-improved-approach-semantic-graph-composition
  37. evang-2019-cross-lingual-ccg-induction
  38. fu-2018-lstm-hypertagging
  39. grunewald-2018-generalized-chart-constraints-efficient-pcfg
  40. kato-2021-new-representation-span-based-ccg
  41. park-2024-jp-evalb-robust-alignment-based
  42. stanojevic-2018-sound-complete-left-corner-parsing
  43. stanojevic-2019-ccg-parsing-algorithm-incremental-tree
  44. steedman-2018-lost-combinator
  45. venant-2019-semantic-expressive-capacity-bounded-memory
  46. wu-2016-empirical-exploration-skip-connections-sequential
  47. xu-2017-tag-parser-evaluation-textual-entailments
  48. zhao-2024-llm-supertagger-categorial-grammar-supertagging
  49. zhu-2019-deconstructing-supertagging-into-multi-task

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