---
title: "Who cites The BEA-2019 Shared Task on Grammatical Error…"
description: "The papers of the Elamur Research library that cite «The BEA-2019 Shared Task on Grammatical Error Correction», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/page/2/"
---
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# Who cites «The BEA-2019 Shared Task on Grammatical Error Correction» · page 2

245 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/bryant-2019-bea-2019-shared-task-grammatical/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/) · **2** · [3](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/cited-by/page/3/)

1. [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*
2. [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*
3. [Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction](https://arxiv.org/abs/2303.14342) *— 2023 · arXiv:2303.14342*
4. [Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction](https://aclanthology.org/2023.arabicnlp-1.9/) *— 2023 · Proceedings of ArabicNLP 2023*
5. [Bidirectional Transformer Reranker for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.234/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
6. [CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types](https://aclanthology.org/2023.emnlp-main.241/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
7. [ChatBack: Investigating Methods of Providing Grammatical Error Feedback in a GUI-based Language Learning Chatbot](https://aclanthology.org/2023.bea-1.7/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
8. [ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark](https://arxiv.org/abs/2303.13648) *— 2023 · arXiv:2303.13648*
9. [Cloze Quality Estimation for Language Assessment](https://aclanthology.org/2023.findings-eacl.39/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
10. [CoEdIT: Text Editing by Task-Specific Instruction Tuning](https://aclanthology.org/2023.findings-emnlp.350/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
11. [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)*
12. [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*
13. [Doolittle: Benchmarks and Corpora for Academic Writing Formalization](https://aclanthology.org/2023.emnlp-main.809/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [ELQA: A Corpus of Metalinguistic Questions and Answers about English](https://aclanthology.org/2023.acl-long.113/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Edit Aware Representation Learning via Levenshtein Prediction](https://aclanthology.org/2023.insights-1.6/) *— 2023 · Proceedings of the Fourth Workshop on Insights from Negative Results in NLP*
16. [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*
17. [EliCoDe at MultiGED2023: fine-tuning XLM-RoBERTa for multilingual grammatical error detection](https://aclanthology.org/2023.nlp4call-1.3/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
18. [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)*
19. [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*
20. [Experiments on Automatic Error Detection and Correction for Uruguayan Learners of English](https://aclanthology.org/2023.nlp4call-1.6/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
21. [Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods](https://aclanthology.org/2023.bea-1.18/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
22. [Focal Training and Tagger Decouple for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.370/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [G-SPEED: General SParse Efficient Editing MoDel](https://aclanthology.org/2023.findings-emnlp.142/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
24. [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)*
25. [GECTurk: Grammatical Error Correction and Detection Dataset for Turkish](https://aclanthology.org/2023.findings-ijcnlp.26/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
26. [Gender-Inclusive Grammatical Error Correction through Augmentation](https://aclanthology.org/2023.bea-1.13/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
27. [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*
28. [Grammatical Error Correction: A Survey of the State of the Art](https://aclanthology.org/2023.cl-3.4/) *— 2023*
29. [Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models](https://aclanthology.org/2023.findings-acl.760/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
30. [Improving Seq2Seq Grammatical Error Correction via Decoding Interventions](https://aclanthology.org/2023.findings-emnlp.495/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
31. [Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation](https://arxiv.org/abs/2304.01746) *— 2023 · arXiv:2304.01746*
32. [LET: Leveraging Error Type Information for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.371/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [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)*
34. [Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting](https://aclanthology.org/2023.eacl-main.155/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
35. [MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction](https://aclanthology.org/2023.findings-emnlp.681/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
36. [NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts](https://aclanthology.org/2023.findings-acl.630/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
37. [Non-autoregressive Text Editing with Copy-aware Latent Alignments](https://aclanthology.org/2023.emnlp-main.437/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
38. [Oleksiy Syvokon; Olena Nahorna; Pavlo Kuchmiichuk; Nastasiia Osidach. UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language // UNLP 2023 @ EACL](https://aclanthology.org/2023.unlp-1.12/) *— 2023 · UNLP 2023 @ EACL*
39. [On the application of Large Language Models for language teaching and assessment technology](https://arxiv.org/abs/2307.08393) *— 2023 · arXiv:2307.08393*
40. [RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation](https://aclanthology.org/2023.emnlp-main.1043/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
41. [Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?](https://aclanthology.org/2023.inlg-genchal.8/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
42. [System Combination via Quality Estimation for Grammatical Error Correction](https://aclanthology.org/2023.emnlp-main.785/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [TemplateGEC: Improving Grammatical Error Correction with Detection Template](https://aclanthology.org/2023.acl-long.380/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Towards Automatic Grammatical Error Type Classification for Turkish](https://aclanthology.org/2023.eacl-srw.14/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
45. [Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation](https://aclanthology.org/2023.acl-long.371/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Training for Grammatical Error Correction Without Human-Annotated L2 Learners' Corpora](https://aclanthology.org/2023.bea-1.38/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
47. [TransGEC: Improving Grammatical Error Correction with Translationese](https://aclanthology.org/2023.findings-acl.223/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
48. [UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language](https://aclanthology.org/2023.unlp-1.12/) *— 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)*
49. [Unsupervised Grammatical Error Correction Rivaling Supervised Methods](https://aclanthology.org/2023.emnlp-main.185/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
50. [エッセイ自動採点における文法特徴と学習者レベルの関係](https://www.anlp.jp/proceedings/annual_meeting/2023/#Q1-3) *— 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)*
51. [Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments](https://aclanthology.org/2022.lrec-1.234/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
52. [Developing a Spell and Grammar Checker for Icelandic using an Error Corpus](https://aclanthology.org/2022.lrec-1.496/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
53. [EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation](https://aclanthology.org/2022.emnlp-main.741/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
54. [EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start](https://aclanthology.org/2022.findings-emnlp.156/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
55. [Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction](https://aclanthology.org/2022.acl-long.266/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction](https://aclanthology.org/2022.naacl-main.5/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
57. [Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors](https://aclanthology.org/2022.findings-acl.324/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
58. [FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction](https://aclanthology.org/2022.findings-emnlp.137/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
59. [From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction](https://aclanthology.org/2022.findings-emnlp.63/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
60. [Frustratingly Easy System Combination for Grammatical Error Correction](https://aclanthology.org/2022.naacl-main.143/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
61. [Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks?](https://aclanthology.org/2022.aacl-main.13/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
62. [Grammatical Error Correction: Are We There Yet?](https://aclanthology.org/2022.coling-1.246/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
63. [How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language](https://aclanthology.org/2022.acl-long.108/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Image Description Dataset for Language Learners](https://aclanthology.org/2022.lrec-1.735/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
65. [Improved grammatical error correction by ranking elementary edits](https://aclanthology.org/2022.emnlp-main.785/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
66. [Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation](https://aclanthology.org/2022.findings-acl.233/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
67. [Interpretability for Language Learners Using Example-Based Grammatical Error Correction](https://aclanthology.org/2022.acl-long.496/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [Lossless Acceleration for Seq2seq Generation with Aggressive Decoding](https://arxiv.org/abs/2205.10350) *— 2022 · arXiv:2205.10350*
69. [Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction](https://aclanthology.org/2022.emnlp-main.708/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
70. [Mitigating Learnerese Effects for CEFR Classification](https://aclanthology.org/2022.bea-1.3/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
71. [MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction](https://aclanthology.org/2022.naacl-main.227/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation](https://aclanthology.org/2022.acl-long.571/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [On Assessing and Developing Spoken `Grammatical Error Correction' Systems](https://aclanthology.org/2022.bea-1.9/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
74. [Position Offset Label Prediction for Grammatical Error Correction](https://aclanthology.org/2022.coling-1.480/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
75. [ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction](https://aclanthology.org/2022.lrec-1.644/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
76. [Probing for targeted syntactic knowledge through grammatical error detection](https://aclanthology.org/2022.conll-1.25/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
77. [SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser](https://aclanthology.org/2022.emnlp-main.162/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
78. [Type-Driven Multi-Turn Corrections for Grammatical Error Correction](https://aclanthology.org/2022.findings-acl.254/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
79. [Updated Headline Generation: Creating Updated Summaries for Evolving News Stories](https://aclanthology.org/2022.acl-long.446/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [arXivEdits: Understanding the Human Revision Process in Scientific Writing](https://aclanthology.org/2022.emnlp-main.641/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
81. [A Simple Recipe for Multilingual Grammatical Error Correction](https://aclanthology.org/2021.acl-short.89/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
82. [BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text](https://aclanthology.org/2021.wat-1.10/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
83. [Comparison of Grammatical Error Correction Using Back-Translation Models](https://aclanthology.org/2021.naacl-srw.16/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
84. [Document-level grammatical error correction](https://aclanthology.org/2021.bea-1.8/) *— 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications*
85. [ELERRANT: Automatic Grammatical Error Type Classification for Greek](https://aclanthology.org/2021.ranlp-1.81/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
86. [Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling](https://aclanthology.org/2021.findings-acl.27/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
87. [GECko+: a Grammatical and Discourse Error Correction Tool](https://aclanthology.org/2021.jeptalnrecital-demo.3/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 : Démonstrations*
88. [Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling](https://aclanthology.org/2021.findings-emnlp.309/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
89. [Grammatical Error Correction as GAN-like Sequence Labeling](https://aclanthology.org/2021.findings-acl.290/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
90. [Grammatical Error Correction with Contrastive Learning in Low Error Density Domains](https://aclanthology.org/2021.findings-emnlp.419/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
91. [Grammatical Error Generation Based on Translated Fragments](https://aclanthology.org/2021.nodalida-main.44/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
92. [Identifying negative language transfer in learner errors using POS information](https://aclanthology.org/2021.bea-1.7/) *— 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications*
93. [Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding](https://aclanthology.org/2021.acl-long.462/) *— 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)*
94. [LM-Critic: Language Models for Unsupervised Grammatical Error Correction](https://aclanthology.org/2021.emnlp-main.611/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
95. [Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems](https://aclanthology.org/2021.emnlp-main.687/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
96. [Negative language transfer in learner English: A new dataset](https://aclanthology.org/2021.naacl-main.251/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
97. [Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction](https://aclanthology.org/2021.naacl-main.429/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
98. [Rethinking Perturbations in Encoder-Decoders for Fast Training](https://aclanthology.org/2021.naacl-main.460/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
99. [SERRANT: a syntactic classifier for English Grammatical Error Types](https://arxiv.org/abs/2104.02310) *— 2021 · arXiv:2104.02310*
100. [Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models](https://aclanthology.org/2021.bea-1.4/) *— 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications*

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