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# Who cites «CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank»

228 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/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency-3/)

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. [A Survey of Meaning Representations – From Theory to Practical Utility](https://aclanthology.org/2024.naacl-long.159/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
3. [Integrating Headedness Information into an Auto-generated Multilingual CCGbank for Improved Semantic Interpretation](https://aclanthology.org/2024.lrec-main.798/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [A CCGbank for Turkish: From Dependency to CCG](https://aclanthology.org/2023.gwc-1.25/) *— 2023 · Proceedings of the 12th Global Wordnet Conference*
5. [A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing](https://aclanthology.org/2023.findings-emnlp.582/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
6. [Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions](https://aclanthology.org/2023.clasp-1.13/) *— 2023 · Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD)*
7. [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)*
8. [Improving BERT Pretraining with Syntactic Supervision](https://aclanthology.org/2023.clasp-1.18/) *— 2023 · Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD)*
9. [Unified Syntactic Annotation of English in the CGEL Framework](https://aclanthology.org/2023.law-1.22/) [our card](https://md.mova.elamur.ai/free/en/docs/papers/bank-2023-reynolds-unified-syntactic-annotation-english-cgel/) *— 2023 · LAW-XVII 2023 (Linguistic Annotation Workshop, ACL)*
10. [Unified Syntactic Annotation of English in the CGEL Framework](https://md.mova.elamur.ai/free/en/docs/papers/bank-2023-reynolds-unified-syntactic-annotation-english-cgel/) *— our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
11. [Building Analyses from Syntactic Inference in Local Languages: An HPSG Grammar Inference System](https://nejlt.ep.liu.se/article/view/4017) *— 2022 · Northern European Journal of Language Technology*
12. [Development of a Multilingual CCG Treebank via Universal Dependencies Conversion](https://aclanthology.org/2022.lrec-1.560/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [Emergent Structures and Training Dynamics in Large Language Models](https://aclanthology.org/2022.bigscience-1.11/) *— 2022 · Proceedings of BigScience Episode \#5 – Workshop on Challenges & Perspectives in Creating Large Language Models*
14. [Probing for Constituency Structure in Neural Language Models](https://aclanthology.org/2022.findings-emnlp.502/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
15. [Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities](https://aclanthology.org/2022.conll-1.20/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
16. [A Logic-Based Framework for Natural Language Inference in Dutch](https://arxiv.org/abs/2110.03323) *— 2021 · arXiv:2110.03323*
17. [Bird''s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach](https://aclanthology.org/2021.acl-long.145/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
18. [Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection](https://aclanthology.org/2021.findings-acl.431/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
19. [Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation](https://aclanthology.org/2021.eacl-main.270/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
20. [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*
21. [Universal Discourse Representation Structure Parsing](https://aclanthology.org/2021.cl-2.15/) *— 2021 · Computational Linguistics*
22. [Configurable Dependency Tree Extraction from CCG Derivations](https://aclanthology.org/2020.udw-1.10/) *— 2020 · Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)*
23. [English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too](https://aclanthology.org/2020.aacl-main.56/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
24. [Exploring and Predicting Transferability across NLP Tasks](https://aclanthology.org/2020.emnlp-main.635/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
25. [Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?](https://aclanthology.org/2020.acl-main.467/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
26. [Logical Inferences with Comparatives and Generalized Quantifiers](https://aclanthology.org/2020.acl-srw.35/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
27. [On the Linguistic Representational Power of Neural Machine Translation Models](https://aclanthology.org/2020.cl-1.1/) *— 2020 · Computational Linguistics*
28. [Representation Learning for Type-Driven Composition](https://aclanthology.org/2020.conll-1.24/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
29. [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)*
30. [Supertagging with CCG primitives](https://aclanthology.org/2020.repl4nlp-1.23/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
31. [jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models](https://aclanthology.org/2020.acl-demos.15/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
32. [ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch](https://aclanthology.org/2020.lrec-1.647/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
33. [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*
34. [CCGweb: a New Annotation Tool and a First Quadrilingual CCG Treebank](https://aclanthology.org/W19-4005/) *— 2019 · Proceedings of the 13th Linguistic Annotation Workshop*
35. [Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling](https://aclanthology.org/P19-1439/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
36. [Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch](https://arxiv.org/abs/1909.02955) *— 2019 · arXiv:1909.02955*
37. [Graph-Based Meaning Representations: Design and Processing](https://aclanthology.org/P19-4002/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts*
38. [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)*
39. [Investigating BERT''s Knowledge of Language: Five Analysis Methods with NPIs](https://aclanthology.org/D19-1286/) *— 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)*
40. [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)*
41. [One Size Does Not Fit All: Comparing NMT Representations of Different Granularities](https://aclanthology.org/N19-1154/) *— 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)*
42. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
43. [Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://aclanthology.org/S19-1026/) *— 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)*
44. [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*
45. [\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)*
46. [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)*
47. [Graph Algebraic Combinatory Categorial Grammar](https://aclanthology.org/S18-2006/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
48. [Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis](https://arxiv.org/abs/1809.10040) *— 2018 · arXiv:1809.10040 · Blackbox NLP Workshop, EMNLP 2018*
49. [Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis](https://aclanthology.org/W18-5448/) *— 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
50. [Non-entailed subsequences as a challenge for natural language inference](https://arxiv.org/abs/1811.12112) *— 2018 · arXiv:1811.12112*
51. [On the Complexity of CCG Parsing](https://aclanthology.org/J18-3004/) *— 2018 · Computational Linguistics*
52. [Polarity Computations in Flexible Categorial Grammar](https://aclanthology.org/S18-2015/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
53. [Semi-Supervised Sequence Modeling with Cross-View Training](https://aclanthology.org/D18-1217/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
54. [Sentences with Gapping: Parsing and Reconstructing Elided Predicates](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
55. [Targeted Syntactic Evaluation of Language Models](https://aclanthology.org/D18-1151/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
56. [The Alexa Meaning Representation Language](https://aclanthology.org/N18-3022/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)*
57. [Graph Convolutional Networks for Named Entity Recognition](https://aclanthology.org/W17-7607/) *— 2017 · Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories*
58. [Hybrid Grammars for Parsing of Discontinuous Phrase Structures and Non-Projective Dependency Structures](https://aclanthology.org/J17-3001/) *— 2017*
59. [Identifying beneficial task relations for multi-task learning in deep neural networks](https://aclanthology.org/E17-2026/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
60. [Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs](https://aclanthology.org/P17-1193/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs](https://aclanthology.org/D17-1003/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
62. [Semantic Dependency Parsing via Book Embedding](https://aclanthology.org/P17-1077/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [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*
64. [Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser](https://aclanthology.org/D16-1242/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
65. [Deeper syntax for better semantic parsing](https://aclanthology.org/C16-1040/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
66. [Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization](https://md.mova.elamur.ai/free/en/docs/papers/king-2016-enhancing-ptb-universal-dependencies-grammar/) *— our card · 2016 · Proceedings of the 9th International Natural Language Generation conference*
67. [Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences](https://aclanthology.org/W16-1718/) *— 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)*
68. [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*
69. [Human-in-the-Loop Parsing](https://aclanthology.org/D16-1258/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
70. [LSTM CCG Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-lewis-lstm-ccg-parsing/) *— our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
71. [RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics](https://aclanthology.org/J16-4004/) *— 2016 · Computational Linguistics*
72. [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*
73. [Squibs: Towards a Catalogue of Linguistic Graph Banks](https://aclanthology.org/J16-4009/) *— 2016*
74. [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*
75. [Towards Comparability of Linguistic Graph Banks for Semantic Parsing](https://aclanthology.org/L16-1630/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
76. [Transition-Based Parsing for Deep Dependency Structures](https://aclanthology.org/J16-3001/) *— 2016 · Computational Linguistics*
77. [A Data-Driven, Factorization Parser for CCG Dependency Structures](https://aclanthology.org/P15-1149/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
78. [A Tableau Prover for Natural Logic and Language](https://aclanthology.org/D15-1296/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
79. [A type-logical treebank for French](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/92) *— 2015 · Journal of Language Modelling*
80. [An Incremental Algorithm for Transition-based CCG Parsing](https://aclanthology.org/N15-1006/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
81. [CCG Supertagging with a Recurrent Neural Network](https://aclanthology.org/P15-2041/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
82. [Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning](https://aclanthology.org/J15-1004/) *— 2015 · Computational Linguistics*
83. [Discriminative Syntax-Based Word Ordering for Text Generation](https://aclanthology.org/J15-3005/) *— 2015 · Computational Linguistics*
84. [Higher-order logical inference with compositional semantics](https://aclanthology.org/D15-1244/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
85. [Incorporating Complementary Annotation to a CCGbank for Improving Derivations for Japanese](https://aclanthology.org/W15-2203/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
86. [Labeled Grammar Induction with Minimal Supervision](https://aclanthology.org/P15-2143/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
87. [Open-Domain Semantic Parsing with Boxer](https://aclanthology.org/W15-1841/) *— 2015 · Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)*
88. [Parsing to Noncrossing Dependency Graphs](https://aclanthology.org/Q15-1040/) *— 2015 · Transactions of the Association for Computational Linguistics*
89. [Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction](https://aclanthology.org/P15-1135/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
90. [A Type-Driven Tensor-Based Semantics for CCG](https://aclanthology.org/W14-1406/) *— 2014 · Proceedings of the EACL 2014 Workshop on Type Theory and Natural Language Semantics (TTNLS)*
91. [A* CCG Parsing with a Supertag-factored Model](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-lewis-ccg-parsing-supertag-factored-model/) *— our card · 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
92. [Converting an HPSG-based Treebank into its Parallel Dependency-based Treebank](https://aclanthology.org/L14-1378/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
93. [Generalizing a Strongly Lexicalized Parser using Unlabeled Data](https://aclanthology.org/E14-1014/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
94. [Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing](https://aclanthology.org/P14-1042/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Improved CCG Parsing with Semi-supervised Supertagging](https://aclanthology.org/Q14-1026/) *— 2014 · Transactions of the Association for Computational Linguistics*
96. [Improving Dependency Parsers using Combinatory Categorial Grammar](https://aclanthology.org/E14-4031/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers*
97. [Learning Grammar Specifications from IGT: A Case Study of Chintang](https://aclanthology.org/W14-2206/) *— 2014 · Proceedings of the 2014 Workshop on the Use of Computational Methods in the Study of Endangered Languages*
98. [Low-Resource Semantic Role Labeling](https://aclanthology.org/P14-1111/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Reducing Dimensions of Tensors in Type-Driven Distributional Semantics](https://aclanthology.org/D14-1111/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
100. [Shift-Reduce CCG Parsing with a Dependency Model](https://aclanthology.org/P14-1021/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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