---
title: "Who cites CCGbank: A Corpus of CCG Derivations and…"
description: "The papers of the Elamur Research library that cite «CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank»…"
canonical: "https://research.elamur.ai/free/en/papers/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CCGbank: A Corpus of CCG Derivations and…](https://md.research.elamur.ai/free/en/papers/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/) / cited by

# 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.research.elamur.ai/free/en/papers/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/)

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

1. [From Dependency to CCG to Incremental CCG: Approaches to Flexible Word Order in Turkish](https://aclanthology.org/2026.conll-main.36/) *— 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning*
2. [A Theorem-Proving-Based Evaluation of Neural Semantic Parsing](https://aclanthology.org/2025.blackboxnlp-1.18/) *— 2025 · Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
3. [An Efficient Parser for Bounded-Order Product-Free Lambek Categorial Grammar via Term Graph](https://aclanthology.org/2025.iwpt-1.1/) *— 2025 · Proceedings of the 18th International Conference on Parsing Technologies (IWPT, SyntaxFest 2025)*
4. [Automatic Evaluation of Linguistic Validity in Japanese CCG Treebanks](https://aclanthology.org/2025.tlt-1.9/) *— 2025 · Proceedings of the 23rd International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2025)*
5. [Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar](https://aclanthology.org/2025.coling-main.553/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
6. [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*
7. [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)*
8. [Categorial Grammar Induction with Stochastic Category Selection](https://aclanthology.org/2024.lrec-main.258/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [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)*
10. [Integrating Supertag Features into Neural Discontinuous Constituent Parsing](https://arxiv.org/abs/2410.08766) *— 2024 · arXiv:2410.08766*
11. [LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets](https://aclanthology.org/2024.lrec-main.893/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [LLM-supertagger: Categorial Grammar Supertagging via Large Language Models](https://aclanthology.org/2024.findings-emnlp.39/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
13. [Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank](https://aclanthology.org/2024.eacl-srw.14/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
14. [A CCGbank for Turkish: From Dependency to CCG](https://aclanthology.org/2023.gwc-1.25/) *— 2023 · Proceedings of the 12th Global Wordnet Conference*
15. [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*
16. [Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar](https://aclanthology.org/2023.paclic-1.76/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
17. [Decomposed scoring of CCG dependencies](https://aclanthology.org/2023.acl-short.89/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
18. [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)*
19. [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)*
20. [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)*
21. [The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP](https://aclanthology.org/2023.bigpicture-1.4/) *— 2023 · Proceedings of the Big Picture Workshop*
22. [Unified Syntactic Annotation of English in the CGEL Framework](https://aclanthology.org/2023.law-1.22/) *— 2023 · LAW-XVII 2023 (Linguistic Annotation Workshop, ACL)*
23. [Unified Syntactic Annotation of English in the CGEL Framework](https://md.research.elamur.ai/free/en/papers/bank-2023-reynolds-unified-syntactic-annotation-english-cgel/) *— our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
24. [YATO: Yet Another deep learning based Text analysis Open toolkit](https://aclanthology.org/2023.emnlp-demo.11/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
25. [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*
26. [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*
27. [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*
28. [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*
29. [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)*
30. [A Generative Process for Lambek Categorial Proof Nets](https://aclanthology.org/2021.mol-1.1/) *— 2021 · Proceedings of the 17th Meeting on the Mathematics of Language*
31. [A Logic-Based Framework for Natural Language Inference in Dutch](https://arxiv.org/abs/2110.03323) *— 2021 · arXiv:2110.03323*
32. [A New Representation for Span-based CCG Parsing](https://aclanthology.org/2021.emnlp-main.826/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
33. [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)*
34. [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*
35. [German Verb Particle Constructions in CCG](https://aclanthology.org/2021.mol-1.2/) *— 2021 · Proceedings of the 17th Meeting on the Mathematics of Language*
36. [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*
37. [Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets](https://aclanthology.org/2021.findings-emnlp.423/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
38. [Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar](https://aclanthology.org/2021.cmcl-1.3/) *— 2021 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
39. [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*
40. [Universal Discourse Representation Structure Parsing](https://aclanthology.org/2021.cl-2.15/) *— 2021 · Computational Linguistics*
41. [An Empirical Investigation of Beam-Aware Training in Supertagging](https://aclanthology.org/2020.findings-emnlp.406/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
42. [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)*
43. [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*
44. [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)*
45. [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*
46. [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*
47. [Max-Margin Incremental CCG Parsing](https://aclanthology.org/2020.acl-main.378/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
48. [On the Linguistic Representational Power of Neural Machine Translation Models](https://aclanthology.org/2020.cl-1.1/) *— 2020 · Computational Linguistics*
49. [Representation Learning for Type-Driven Composition](https://aclanthology.org/2020.conll-1.24/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
50. [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)*
51. [Supertagging with CCG primitives](https://aclanthology.org/2020.repl4nlp-1.23/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
52. [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*
53. [ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch](https://aclanthology.org/2020.lrec-1.647/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
54. [A Pregroup Representation of Word Order Alternation Using Hindi Syntax](https://aclanthology.org/N19-3017/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
55. [An Improved Approach for Semantic Graph Composition with CCG](https://aclanthology.org/W19-0405/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers*
56. [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*
57. [CCG Parsing Algorithm with Incremental Tree Rotation](https://aclanthology.org/N19-1020/) *— 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)*
58. [CCGweb: a New Annotation Tool and a First Quadrilingual CCG Treebank](https://aclanthology.org/W19-4005/) *— 2019 · Proceedings of the 13th Linguistic Annotation Workshop*
59. [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*
60. [Cross-lingual CCG Induction](https://aclanthology.org/N19-1160/) *— 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)*
61. [Deconstructing Supertagging into Multi-Task Sequence Prediction](https://aclanthology.org/K19-1002/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
62. [Evaluation Order Effects in Dynamic Continuized CCG: From Negative Polarity Items to Balanced Punctuation](https://aclanthology.org/W19-0123/) *— 2019 · Proceedings of the Society for Computation in Linguistics (SCiL) 2019*
63. [Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch](https://arxiv.org/abs/1909.02955) *— 2019 · arXiv:1909.02955*
64. [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*
65. [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)*
66. [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)*
67. [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)*
68. [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)*
69. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
70. [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)*
71. [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*
72. [\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)*
73. [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)*
74. [Graph Algebraic Combinatory Categorial Grammar](https://aclanthology.org/S18-2006/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
75. [LSTM Hypertagging](https://aclanthology.org/W18-6528/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
76. [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*
77. [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*
78. [Non-entailed subsequences as a challenge for natural language inference](https://arxiv.org/abs/1811.12112) *— 2018 · arXiv:1811.12112*
79. [On the Complexity of CCG Parsing](https://aclanthology.org/J18-3004/) *— 2018 · Computational Linguistics*
80. [Polarity Computations in Flexible Categorial Grammar](https://aclanthology.org/S18-2015/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
81. [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*
82. [Sentences with Gapping: Parsing and Reconstructing Elided Predicates](https://md.research.elamur.ai/free/en/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)*
83. [Targeted Syntactic Evaluation of Language Models](https://aclanthology.org/D18-1151/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
84. [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)*
85. [A Simple Method for Clarifying Sentences with Coordination Ambiguities](https://aclanthology.org/W17-3702/) *— 2017 · Proceedings of the 1st Workshop on Explainable Computational Intelligence (XCI 2017)*
86. [Graph Convolutional Networks for Named Entity Recognition](https://aclanthology.org/W17-7607/) *— 2017 · Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories*
87. [Hybrid Grammars for Parsing of Discontinuous Phrase Structures and Non-Projective Dependency Structures](https://aclanthology.org/J17-3001/) *— 2017*
88. [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*
89. [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)*
90. [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*
91. [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)*
92. [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*
93. [An Empirical Exploration of Skip Connections for Sequential Tagging](https://aclanthology.org/C16-1020/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
94. [Annotating and Predicting Non-Restrictive Noun Phrase Modifications](https://aclanthology.org/P16-1119/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [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*
96. [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*
97. [Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization](https://md.research.elamur.ai/free/en/papers/king-2016-enhancing-ptb-universal-dependencies-grammar/) *— our card · 2016 · Proceedings of the 9th International Natural Language Generation conference*
98. [From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation](https://aclanthology.org/C16-1144/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
99. [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)*
100. [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*

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