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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. LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  3. LLM-supertagger: Categorial Grammar Supertagging via Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  4. jp-evalb: Robust Alignment-based PARSEVAL Measures — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)
  5. Holographic CCG Parsing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. A New Representation for Span-based CCG Parsing — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  7. 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)
  8. Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories — 2021 · Transactions of the Association for Computational Linguistics
  9. 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)
  10. Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  11. Supertagging with CCG primitives — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
  12. ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  13. An Improved Approach for Semantic Graph Composition with CCG — 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers
  14. Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  15. 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)
  16. CCG Parsing Algorithm with Incremental Tree Rotation — 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)
  17. Constructive Type-Logical Supertagging With Self-Attention Networks — 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
  18. Cross-lingual CCG Induction — 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)
  19. Deconstructing Supertagging into Multi-Task Sequence Prediction — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  20. Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch — 2019 · arXiv:1909.02955
  21. 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)
  22. 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)
  23. Semantic Expressive Capacity with Bounded Memory — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  24. 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)
  25. Wide-Coverage Neural A* Parsing for Minimalist Grammars — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  26. \AE THEL: Automatically Extracted Typelogical Derivations for Dutch — 2019 · arXiv:1912.12635 · Proceedings of The 12th Language Resources and Evaluation Conference (2020)
  27. A Sound and Complete Left-Corner Parsing for Minimalist Grammars — 2018 · Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing
  28. 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)
  29. 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)
  30. 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)
  31. Fine-Grained Discourse Structures in Continuation Semantics — 2018 · Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
  32. Generalized chart constraints for efficient PCFG and TAG parsing — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  33. German and French Neural Supertagging Experiments for LTAG Parsing — 2018 · Proceedings of ACL 2018, Student Research Workshop
  34. LSTM Hypertagging — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  35. Targeted Syntactic Evaluation of Language Models — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  36. The Lost Combinator — 2018 · Computational Linguistics
  37. Valency-Augmented Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  38. 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
  39. In-Order Transition-based Constituent Parsing — 2017 · Transactions of the Association for Computational Linguistics
  40. Linguistically Rich Vector Representations of Supertags for TAG Parsing — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
  41. TAG Parser Evaluation using Textual Entailments — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
  42. TAG Parsing with Neural Networks and Vector Representations of Supertags — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  43. An Empirical Exploration of Skip Connections for Sequential Tagging — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  44. Global Neural CCG Parsing with Optimality Guarantees — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  45. Human-in-the-Loop Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  46. LSTM Shift-Reduce CCG Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  47. 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
  48. Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations — our card · 2016
  49. Supertagging With LSTMs — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies