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# Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction»

251 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/bryant-2017-automatic-annotation-evaluation-error-types/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types-3/)

1. [A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://aclanthology.org/2026.lrec-1.137/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation](https://arxiv.org/abs/2606.10765) *— 2026 · arXiv:2606.10765*
3. [COCOGEC: Counterfactual Generation for Robust Grammatical Error Correction](https://aclanthology.org/2026.findings-acl.195/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
4. [Corpora Generation for Urdu Grammatical Error Correction](https://aclanthology.org/2026.findings-acl.2156/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
5. [Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction](https://aclanthology.org/2026.bea-1.60/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
6. [Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs](https://arxiv.org/abs/2603.17171) *— 2026 · arXiv:2603.17171*
7. [FinnGEC: Benchmarking Grammatical Error Correction for Finnish](https://aclanthology.org/2026.bea-1.33/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
8. [Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation](https://aclanthology.org/2026.tacl-1.77/) *— 2026*
9. [Instruction-Following LLMs for Grammatical Error Correction: Analyzing Neutral-Anchored Instructional Sensitivity Across Editing Modes](https://aclanthology.org/2026.bea-1.17/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
10. [Multi-component student writing profiles for expert-aligned automated evaluation of English learner essays.](https://aclanthology.org/2026.bea-1.39/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
11. [Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://aclanthology.org/2026.bea-1.26/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
12. [Russian Generative Spelling, Punctuation and Capitalization Correction](https://aclanthology.org/2026.lrec-1.773/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
13. [STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study](https://arxiv.org/abs/2608.28614) *— 2026 · arXiv:2608.28614*
14. [Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References?](https://aclanthology.org/2026.acl-long.2193/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Annotating Errors in English Learners'' Written Language Production: Advancing Automated Written Feedback Systems](https://arxiv.org/abs/2508.06810) *— 2025 · arXiv:2508.06810 · AIED LNCS 15880 (2025) 292-306*
16. [ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC](https://arxiv.org/abs/2511.14230) *— 2025 · arXiv:2511.14230*
17. [BLiSS: Evaluating Bilingual Learner Competence in Second Language Small Language Models](https://aclanthology.org/2025.babylm-main.13/) *— 2025 · Proceedings of the First BabyLM Workshop*
18. [CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction](https://aclanthology.org/2025.acl-long.10/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction](https://arxiv.org/abs/2502.15261) *— 2025 · arXiv:2502.15261*
20. [Edit-Wise Preference Optimization for Grammatical Error Correction](https://aclanthology.org/2025.coling-main.229/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
21. [Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.findings-acl.1090/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
22. [Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.naacl-long.251/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
23. [GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction](https://aclanthology.org/2025.coling-demos.16/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations*
24. [IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator](https://aclanthology.org/2025.findings-acl.1315/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
25. [Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction](https://aclanthology.org/2025.acl-srw.77/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
26. [InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning](https://aclanthology.org/2025.coling-main.9/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
27. [Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction](https://aclanthology.org/2025.unlp-1.17/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
28. [LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection](https://aclanthology.org/2025.bea-1.38/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
29. [Lattice @MultiGEC-2025: A Spitful Multilingual Language Error Correction System Using LLaMA](https://aclanthology.org/2025.nlp4call-1.2/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
30. [Low-Resource Grammatical Error Correction: Selective Data Augmentation with Round-Trip Machine Translation](https://aclanthology.org/2025.findings-acl.1322/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
31. [Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility](https://aclanthology.org/2025.bea-1.15/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
32. [Refined Evaluation for End-to-End Grammatical Error Correction Using an Alignment-Based Approach](https://aclanthology.org/2025.coling-main.52/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
33. [Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?](https://aclanthology.org/2025.acl-short.92/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
34. [Small Languages, Big Models: A Study of Continual Training on Languages of Norway](https://aclanthology.org/2025.nodalida-1.61/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
35. [Smruti: Grammatical Error Correction for Gujarati using LLMs with Non-Parametric Memory](https://aclanthology.org/2025.findings-ijcnlp.28/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
36. [Targeted Syntactic Evaluation for Grammatical Error Correction](https://md.mova.elamur.ai/free/en/docs/papers/koyama-2025-targeted-syntactic-evaluation-grammatical-error/) *— our card · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [UnifiedGEC: Integrating Grammatical Error Correction Approaches for Multi-languages with a Unified Framework](https://aclanthology.org/2025.coling-demos.5/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations*
38. [gec-metrics: A Unified Library for Grammatical Error Correction Evaluation](https://aclanthology.org/2025.acl-demo.50/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
39. [Aman Saini; Artem Chernodub; Vipul Raheja; Vivek Kulkarni. Spivavtor: An Instruction Tuned Ukrainian Text Editing Model // UNLP 2024 @ LREC-COLING](https://aclanthology.org/2024.unlp-1.12/) *— 2024 · UNLP 2024 @ LREC-COLING*
40. [Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory](https://aclanthology.org/2024.bea-1.26/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
41. [Can GPT-4 do L2 analytic assessment?](https://aclanthology.org/2024.bea-1.14/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
42. [Challenging Error Correction in Recognised Byzantine Greek](https://aclanthology.org/2024.ml4al-1.1/) *— 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
43. [Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction](https://aclanthology.org/2024.lrec-main.350/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
44. [Detection-Correction Structure via General Language Model for Grammatical Error Correction](https://aclanthology.org/2024.acl-long.96/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://arxiv.org/abs/2407.00924) *— 2024 · arXiv:2407.00924*
46. [Efficient and Interpretable Grammatical Error Correction with Mixture of Experts](https://aclanthology.org/2024.findings-emnlp.997/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
47. [Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency](https://aclanthology.org/2024.lrec-main.569/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
48. [Evaluating the Generalisation of an Artificial Learner](https://aclanthology.org/2024.nlp4call-1.15/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
49. [Evaluation of Really Good Grammatical Error Correction](https://aclanthology.org/2024.lrec-main.584/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
50. [GEE! Grammar Error Explanation with Large Language Models](https://aclanthology.org/2024.findings-naacl.49/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
51. [GMEG-EXP: A Dataset of Human- and LLM-Generated Explanations of Grammatical and Fluency Edits](https://aclanthology.org/2024.lrec-main.688/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
52. [Gazelle: An Instruction Dataset for Arabic Writing Assistance](https://aclanthology.org/2024.findings-emnlp.941/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
53. [Grammatical Error Correction for Code-Switched Sentences by Learners of English](https://aclanthology.org/2024.lrec-main.698/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
54. [Harnessing GPT to Study Second Language Learner Essays: Can We Use Perplexity to Determine Linguistic Competence?](https://aclanthology.org/2024.bea-1.34/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
55. [Improving Grammatical Error Correction by Correction Acceptability Discrimination](https://aclanthology.org/2024.lrec-main.772/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
56. [Improving Grammatical Error Correction via Contextual Data Augmentation](https://aclanthology.org/2024.findings-acl.647/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
57. [LLM-based Code-Switched Text Generation for Grammatical Error Correction](https://aclanthology.org/2024.emnlp-main.942/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
58. [Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction](https://aclanthology.org/2024.bea-1.6/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
59. [LearnerVoice: A Dataset of Non-Native English Learners'' Spontaneous Speech](https://arxiv.org/abs/2407.04280) *— 2024 · arXiv:2407.04280*
60. [Multi-Reference Benchmarks for Russian Grammatical Error Correction](https://aclanthology.org/2024.eacl-long.76/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models](https://aclanthology.org/2024.eacl-long.73/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models](https://aclanthology.org/2024.bea-1.3/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
63. [Prompting open-source and commercial language models for grammatical error correction of English learner text](https://aclanthology.org/2024.findings-acl.711/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
64. [Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study](https://arxiv.org/abs/2409.07476) *— 2024 · arXiv:2409.07476*
65. [Revisiting Meta-evaluation for Grammatical Error Correction](https://aclanthology.org/2024.tacl-1.47/) *— 2024*
66. [Russian Learner Corpus: Towards Error-Cause Annotation for L2 Russian](https://aclanthology.org/2024.lrec-main.1241/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
67. [Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model](https://aclanthology.org/2024.findings-emnlp.17/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
68. [Semantic Error Prediction: Estimating Word Production Complexity](https://aclanthology.org/2024.nlp4call-1.16/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
69. [Speak & Improve Challenge 2025: Tasks and Baseline Systems](https://arxiv.org/abs/2412.11985) *— 2024 · arXiv:2412.11985*
70. [Spivavtor: An Instruction Tuned Ukrainian Text Editing Model](https://aclanthology.org/2024.unlp-1.12/) *— 2024 · Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024*
71. [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://aclanthology.org/2024.findings-naacl.210/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
72. [To Err Is Human, but Llamas Can Learn It Too](https://aclanthology.org/2024.findings-emnlp.727/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
73. [Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond](https://aclanthology.org/2024.bea-1.21/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
74. [Tower: An Open Multilingual Large Language Model for Translation-Related Tasks](https://arxiv.org/abs/2402.17733) *— 2024 · arXiv:2402.17733*
75. [Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction](https://aclanthology.org/2024.naacl-long.99/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
76. [Universal Dependencies for Learner Russian](https://aclanthology.org/2024.lrec-main.1486/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
77. [Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection](https://aclanthology.org/2024.emnlp-main.176/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
78. [mEdIT: Multilingual Text Editing via Instruction Tuning](https://aclanthology.org/2024.naacl-long.56/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
79. [n-gram F-score for Evaluating Grammatical Error Correction](https://aclanthology.org/2024.inlg-main.25/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
80. [A Closer Look at k-Nearest Neighbors Grammatical Error Correction](https://aclanthology.org/2023.bea-1.19/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
81. [A Low-Resource Approach to the Grammatical Error Correction of Ukrainian](https://aclanthology.org/2023.unlp-1.14/) *— 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)*
82. [A query engine for L1-L2 parallel dependency treebanks](https://aclanthology.org/2023.nodalida-1.57/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
83. [Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://aclanthology.org/2023.emnlp-main.396/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
84. [An Extended Sequence Tagging Vocabulary for Grammatical Error Correction](https://aclanthology.org/2023.findings-eacl.119/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
85. [Bidirectional Transformer Reranker for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.234/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
86. [Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora](https://aclanthology.org/2023.acl-long.402/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction](https://aclanthology.org/2023.emnlp-main.378/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
88. [Comparative Study of Models Trained on Synthetic Data for Ukrainian Grammatical Error Correction](https://aclanthology.org/2023.unlp-1.13/) *— 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)*
89. [Comprehensive Evaluation of Translation Error Correction Models](https://aclanthology.org/2023.paclic-1.86/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
90. [Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule](https://aclanthology.org/2023.emnlp-main.355/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
91. [Enhancing Grammatical Error Correction Systems with Explanations](https://aclanthology.org/2023.acl-long.413/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [Error syntax aware augmentation of feedback comment generation dataset](https://aclanthology.org/2023.inlg-genchal.6/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
93. [Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://aclanthology.org/2023.emnlp-main.543/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
94. [GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding](https://aclanthology.org/2023.acl-long.86/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Grammatical Error Correction for Sentence-level Assessment in Language Learning](https://aclanthology.org/2023.bea-1.41/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
96. [Grammatical Error Correction via Mixed-Grained Weighted Training](https://aclanthology.org/2023.findings-emnlp.400/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
97. [Grammatical Error Correction: A Survey of the State of the Art](https://aclanthology.org/2023.cl-3.4/) *— 2023*
98. [Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation](https://arxiv.org/abs/2304.01746) *— 2023 · arXiv:2304.01746*
99. [Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.449/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
100. [Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems](https://aclanthology.org/2023.ijcnlp-short.12/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*

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