[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2016-lewis-lstm-ccg-parsing/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «LSTM CCG Parsing»

# Who cites «LSTM CCG Parsing»

49 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-lewis-lstm-ccg-parsing/)

1. [Is CCGbank Semantically Valid? Insights from Negation Scope Analysis](https://aclanthology.org/2025.paclic-1.35/) *— 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation*
2. [Holographic CCG Parsing](https://aclanthology.org/2023.acl-long.15/) *— 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](https://aclanthology.org/2021.iwpt-1.2/) *— 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](https://aclanthology.org/2021.tacl-1.15/) *— 2021 · Transactions of the Association for Computational Linguistics*
5. [Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT](https://aclanthology.org/2020.emnlp-main.371/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
6. [Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks](https://aclanthology.org/2020.emnlp-main.487/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
7. [Supertagging with CCG primitives](https://aclanthology.org/2020.repl4nlp-1.23/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
8. [ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch](https://aclanthology.org/2020.lrec-1.647/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
9. [Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation](https://aclanthology.org/P19-1013/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
10. [Benchmarking Approximate Inference Methods for Neural Structured Prediction](https://aclanthology.org/N19-1335/) *— 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](https://aclanthology.org/W19-4314/) *— 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)*
12. [Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch](https://arxiv.org/abs/1909.02955) *— 2019 · arXiv:1909.02955*
13. [Hierarchically-Refined Label Attention Network for Sequence Labeling](https://aclanthology.org/D19-1422/) *— 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](https://aclanthology.org/N19-1112/) *— 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](https://aclanthology.org/N19-1075/) *— 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](https://aclanthology.org/P19-1238/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
17. [\AE THEL: Automatically Extracted Typelogical Derivations for Dutch](https://arxiv.org/abs/1912.12635) *— 2019 · arXiv:1912.12635 · Proceedings of The 12th Language Resources and Evaluation Conference (2020)*
18. [AMR dependency parsing with a typed semantic algebra](https://aclanthology.org/P18-1170/) *— 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](https://aclanthology.org/P18-1055/) *— 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](https://aclanthology.org/N18-1107/) *— 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](https://aclanthology.org/D18-1151/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
22. [Valency-Augmented Dependency Parsing](https://aclanthology.org/D18-1159/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
23. [Alto: Rapid Prototyping for Parsing and Translation](https://md.mova.elamur.ai/free/en/docs/papers/gontrum-2017-alto-rapid-prototyping-parsing-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](https://aclanthology.org/Q17-1029/) *— 2017 · Transactions of the Association for Computational Linguistics*
25. [Linguistically Rich Vector Representations of Supertags for TAG Parsing](https://aclanthology.org/W17-6213/) *— 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](https://aclanthology.org/D17-1180/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
27. [Global Neural CCG Parsing with Optimality Guarantees](https://aclanthology.org/D16-1262/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
28. [Human-in-the-Loop Parsing](https://aclanthology.org/D16-1258/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
29. [LSTM Shift-Reduce CCG Parsing](https://aclanthology.org/D16-1181/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
30. [Shift-Reduce CCG Parsing using Neural Network Models](https://aclanthology.org/N16-1052/) *— 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](https://md.mova.elamur.ai/free/en/docs/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) *— our card · 2016*
32. [Supertagging With LSTMs](https://aclanthology.org/N16-1027/) *— 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
- [← previous Who cites «An Evaluation of Parser Robustness for Ungrammatical Sentences»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/)
- [next → Who cites «Exploring the steps of Verb Phrase Ellipsis»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2016-liu-exploring-steps-verb-phrase-ellipsis/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)