---
title: "Who cites Wide-Coverage Efficient Statistical Parsing with…"
description: "The papers of the Elamur Research library that cite «Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/cited-by/"
---
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# Who cites «Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models»

215 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/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/cited-by/page/3/)

1. [Entailment-Preserving First-order Logic Representations in Natural Language Entailment](https://aclanthology.org/2025.acl-long.286/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [From speech signal to syntactic structure: A computational implementation](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/397) *— 2025 · Journal of Language Modelling*
3. [Neurosymbolic AI for Natural Language Inference in French : combining LLMs and theorem provers for semantic parsing and natural language reasoning](https://aclanthology.org/2025.iwcs-main.21/) *— 2025 · Proceedings of the 16th International Conference on Computational Semantics*
4. [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)*
5. [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*
6. [Curing the SICK and Other NLI Maladies](https://aclanthology.org/2023.cl-1.5/) *— 2023 · Computational Linguistics*
7. [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)*
8. [Grammatical theory: From transformational grammar to constraint-based approaches (Language Science Press, 5th rev. ed. 2023)](https://md.research.elamur.ai/free/en/papers/muller-2023-grammatical-theory-from-transformational/) *— our card · 2023 · grammar-book*
9. [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)*
10. [Improving Low-resource RRG Parsing with Cross-lingual Self-training](https://aclanthology.org/2022.coling-1.384/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
11. [Logical Inference for Counting on Semi-structured Tables](https://aclanthology.org/2022.acl-srw.8/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
12. [Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue](https://aclanthology.org/2022.acl-long.110/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Survey of Low-Resource Machine Translation](https://aclanthology.org/2022.cl-3.6/) *— 2022 · Computational Linguistics*
14. [A CCG-Based Version of the DisCoCat Framework](https://aclanthology.org/2021.semspace-1.3/) *— 2021 · Proceedings of the 2021 Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science (SemSpace)*
15. [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*
16. [Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing](https://aclanthology.org/2021.cl-1.3/) *— 2021 · Computational Linguistics*
17. [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)*
18. [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*
19. [Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/liu-2021-text-generation-discourse-representation-structures/) *— our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
20. [Combining Event Semantics and Degree Semantics for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
21. [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)*
22. [Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference](https://aclanthology.org/2020.starsem-1.3/) *— 2020 · Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics*
23. [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*
24. [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*
25. [Representation Learning for Type-Driven Composition](https://aclanthology.org/2020.conll-1.24/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
26. [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)*
27. [Supertagging with CCG primitives](https://aclanthology.org/2020.repl4nlp-1.23/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
28. [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)*
29. [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*
30. [Natural Language Inference with Monotonicity](https://aclanthology.org/W19-0502/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Short Papers*
31. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
32. [Scalable Syntax-Aware Language Models Using Knowledge Distillation](https://aclanthology.org/P19-1337/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
33. [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)*
34. [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*
35. [Acquisition of Phrase Correspondences Using Natural Deduction Proofs](https://aclanthology.org/N18-1069/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
36. [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)*
37. [Discourse Representation Structure Parsing](https://aclanthology.org/P18-1040/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [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)*
39. [Generalized chart constraints for efficient PCFG and TAG parsing](https://aclanthology.org/P18-2099/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
40. [Neural sentence generation from formal semantics](https://aclanthology.org/W18-6549/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
41. [On the Complexity of CCG Parsing](https://aclanthology.org/J18-3004/) *— 2018 · Computational Linguistics*
42. [Polarity Computations in Flexible Categorial Grammar](https://aclanthology.org/S18-2015/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
43. [A* CCG Parsing with a Supertag and Dependency Factored Model](https://aclanthology.org/P17-1026/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Determining Semantic Textual Similarity using Natural Deduction Proofs](https://aclanthology.org/D17-1071/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
45. [On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://aclanthology.org/E17-1067/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
46. [Parsing with Dynamic Continuized CCG](https://aclanthology.org/W17-6208/) *— 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms*
47. [Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain](https://aclanthology.org/D17-1113/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
48. [TAG Parser Evaluation using Textual Entailments](https://aclanthology.org/W17-6214/) *— 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms*
49. [The Covert Helps Parse the Overt](https://aclanthology.org/K17-1035/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
50. [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*
51. [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*
52. [Cross-lingual Learning of an Open-domain Semantic Parser](https://aclanthology.org/C16-1056/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
53. [Efficient techniques for parsing with tree automata](https://aclanthology.org/P16-1192/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks](https://aclanthology.org/N16-1025/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
55. [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)*
56. [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*
57. [LSTM CCG Parsing](https://md.research.elamur.ai/free/en/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*
58. [LSTM Shift-Reduce CCG Parsing](https://aclanthology.org/D16-1181/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
59. [Natural Solution to FraCaS Entailment Problems](https://aclanthology.org/S16-2007/) *— 2016 · Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics*
60. [Overview of the Regulatory Network of Plant Seed Development (SeeDev) Task at the BioNLP Shared Task 2016.](https://aclanthology.org/W16-3001/) *— 2016 · Proceedings of the 4th BioNLP Shared Task Workshop*
61. [RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics](https://aclanthology.org/J16-4004/) *— 2016 · Computational Linguistics*
62. [Semantic Parsing to Probabilistic Programs for Situated Question Answering](https://aclanthology.org/D16-1016/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
63. [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*
64. [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*
65. [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)*
66. [Transition-Based Parsing for Deep Dependency Structures](https://aclanthology.org/J16-3001/) *— 2016 · Computational Linguistics*
67. [Unsupervised Timeline Generation for Wikipedia History Articles](https://aclanthology.org/D16-1259/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
68. [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)*
69. [A Supertag-Context Model for Weakly-Supervised CCG Parser Learning](https://aclanthology.org/K15-1003/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning*
70. [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*
71. [A type-logical treebank for French](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/92) *— 2015 · Journal of Language Modelling*
72. [An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics](https://aclanthology.org/W15-2701/) *— 2015 · Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics*
73. [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*
74. [Automatically Solving Number Word Problems by Semantic Parsing and Reasoning](https://aclanthology.org/D15-1135/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
75. [Broad-coverage CCG Semantic Parsing with AMR](https://aclanthology.org/D15-1198/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
76. [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)*
77. [Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning](https://aclanthology.org/J15-1004/) *— 2015 · Computational Linguistics*
78. [Discriminative Syntax-Based Word Ordering for Text Generation](https://aclanthology.org/J15-3005/) *— 2015 · Computational Linguistics*
79. [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*
80. [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*
81. [Joint A* CCG Parsing and Semantic Role Labelling](https://aclanthology.org/D15-1169/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
82. [Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis](https://aclanthology.org/Q15-1038/) *— 2015 · Transactions of the Association for Computational Linguistics*
83. [Learning Adjective Meanings with a Tensor-Based Skip-Gram Model](https://aclanthology.org/K15-1035/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning*
84. [A New Parsing Algorithm for Combinatory Categorial Grammar](https://aclanthology.org/Q14-1032/) *— 2014 · Transactions of the Association for Computational Linguistics*
85. [A Systematic Study of Semantic Vector Space Model Parameters](https://aclanthology.org/W14-1503/) *— 2014 · Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC)*
86. [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)*
87. [A practical and linguistically-motivated approach to compositional distributional semantics](https://aclanthology.org/P14-1009/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [A* CCG Parsing with a Supertag-factored Model](https://md.research.elamur.ai/free/en/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)*
89. [Context-dependent Semantic Parsing for Time Expressions](https://aclanthology.org/P14-1135/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Deep-Syntactic Parsing](https://aclanthology.org/C14-1133/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
91. [Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms](https://aclanthology.org/E14-1037/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
92. [Frege in Space: A Program for Composition Distributional Semantics](https://aclanthology.org/2014.lilt-9.5/) *— 2014*
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. [Identifying Important Features for Graph Retrieval](https://aclanthology.org/C14-1057/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
96. [Improved CCG Parsing with Semi-supervised Supertagging](https://aclanthology.org/Q14-1026/) *— 2014 · Transactions of the Association for Computational Linguistics*
97. [Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar](https://aclanthology.org/P14-1112/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Large-scale Semantic Parsing without Question-Answer Pairs](https://aclanthology.org/Q14-1030/) *— 2014*
99. [Learning Compact Lexicons for CCG Semantic Parsing](https://aclanthology.org/D14-1134/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
100. [Practical Linguistic Steganography using Contextual Synonym Substitution and a Novel Vertex Coding Method](https://aclanthology.org/J14-2006/) *— 2014 · Computational Linguistics*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/nlpgap-2007-clark-wide-coverage-efficient-statistical-parsing/cited-by/page/3/)