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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.mova.elamur.ai/free/en/docs/papers/bryant-2019-bea-2019-shared-task-grammatical/)

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1. [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*
2. [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*
3. [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*
4. [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*
5. [On the application of Large Language Models for language teaching and assessment technology](https://arxiv.org/abs/2307.08393) *— 2023 · arXiv:2307.08393*
6. [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*
7. [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*
8. [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)*
9. [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*
10. [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)*
11. [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)*
12. [TransGEC: Improving Grammatical Error Correction with Translationese](https://aclanthology.org/2023.findings-acl.223/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
13. [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)*
14. [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*
15. [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)*
16. [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*
17. [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*
18. [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*
19. [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)*
20. [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*
21. [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*
22. [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*
23. [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*
24. [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)*
25. [Grammatical Error Correction: Are We There Yet?](https://aclanthology.org/2022.coling-1.246/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
26. [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)*
27. [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*
28. [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*
29. [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)*
30. [Lossless Acceleration for Seq2seq Generation with Aggressive Decoding](https://arxiv.org/abs/2205.10350) *— 2022 · arXiv:2205.10350*
31. [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*
32. [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*
33. [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)*
34. [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)*
35. [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*
36. [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*
37. [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)*
38. [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*
39. [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*
40. [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)*
41. [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*
42. [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)*
43. [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)*
44. [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*
45. [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*
46. [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)*
47. [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*
48. [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*
49. [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*
50. [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*
51. [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)*
52. [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)*
53. [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*
54. [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*
55. [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*
56. [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*
57. [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*
58. [SERRANT: a syntactic classifier for English Grammatical Error Types](https://arxiv.org/abs/2104.02310) *— 2021 · arXiv:2104.02310*
59. [System Combination for Grammatical Error Correction Based on Integer Programming](https://aclanthology.org/2021.ranlp-1.94/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
60. [Various Errors Improve Neural Grammatical Error Correction](https://aclanthology.org/2021.paclic-1.27/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
61. [Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers](https://aclanthology.org/2021.repl4nlp-1.20/) *— 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)*
62. [A Crash Course in Automatic Grammatical Error Correction](https://aclanthology.org/2020.coling-tutorials.6/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts*
63. [A Hybrid System for NLPTEA-2020 CGED Shared Task](https://aclanthology.org/2020.nlptea-1.9/) *— 2020 · Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications*
64. [A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction](https://aclanthology.org/2020.findings-emnlp.26/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
65. [Adversarial Grammatical Error Correction](https://aclanthology.org/2020.findings-emnlp.275/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
66. [Automated Writing Support Using Deep Linguistic Parsers](https://aclanthology.org/2020.lrec-1.46/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
67. [Data Weighted Training Strategies for Grammatical Error Correction](https://aclanthology.org/2020.tacl-1.41/) *— 2020*
68. [ERRANT: Assessing and Improving Grammatical Error Type Classification](https://aclanthology.org/2020.latechclfl-1.10/) *— 2020 · Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
69. [Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction](https://aclanthology.org/2020.acl-main.391/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
70. [Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations](https://aclanthology.org/2020.wnut-1.20/) *— 2020 · Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)*
71. [Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses](https://aclanthology.org/2020.emnlp-main.680/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
72. [Grammatical error detection in transcriptions of spoken English](https://aclanthology.org/2020.coling-main.195/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
73. [Heterogeneous Recycle Generation for Chinese Grammatical Error Correction](https://aclanthology.org/2020.coling-main.199/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
74. [Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples](https://aclanthology.org/2020.emnlp-main.228/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
75. [Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation](https://aclanthology.org/2020.coling-main.200/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
76. [Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction](https://aclanthology.org/2020.emnlp-main.581/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
77. [It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations](https://aclanthology.org/2020.acl-main.263/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
78. [NeuSpell: A Neural Spelling Correction Toolkit](https://aclanthology.org/2020.emnlp-demos.21/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
79. [Non-Autoregressive Grammatical Error Correction Toward a Writing Support System](https://aclanthology.org/2020.nlptea-1.1/) *— 2020 · Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications*
80. [REPROLANG 2020: Automatic Proficiency Scoring of Czech, English, German, Italian, and Spanish Learner Essays](https://aclanthology.org/2020.lrec-1.689/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
81. [SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction](https://aclanthology.org/2020.coling-main.573/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
82. [Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model](https://aclanthology.org/2020.aacl-main.83/) *— 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*
83. [The Teacher-Student Chatroom Corpus](https://arxiv.org/abs/2011.07109) *— 2020 · Linköping Electronic Conference Proceedings 175*
84. [Toward a Paradigm Shift in Collection of Learner Corpora](https://aclanthology.org/2020.lrec-1.48/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
85. [(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus](https://aclanthology.org/W19-4413/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
86. [A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning](https://aclanthology.org/W19-4423/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
87. [CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction](https://aclanthology.org/W19-4419/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
88. [Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses](https://aclanthology.org/Q19-1032/) *— 2019*
89. [Encode, Tag, Realize: High-Precision Text Editing](https://arxiv.org/abs/1909.01187) *— 2019 · arXiv:1909.01187*
90. [Erroneous data generation for Grammatical Error Correction](https://aclanthology.org/W19-4415/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
91. [Learning to combine Grammatical Error Corrections](https://aclanthology.org/W19-4414/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
92. [Minimally-Augmented Grammatical Error Correction](https://aclanthology.org/D19-5546/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
93. [Neural and FST-based approaches to grammatical error correction](https://aclanthology.org/W19-4424/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
94. [Noisy Channel for Low Resource Grammatical Error Correction](https://aclanthology.org/W19-4420/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
95. [The AIP-Tohoku System at the BEA-2019 Shared Task](https://aclanthology.org/W19-4418/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
96. [The LAIX Systems in the BEA-2019 GEC Shared Task](https://aclanthology.org/W19-4416/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
97. [Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus](https://arxiv.org/abs/1907.09724) *— 2019 · arXiv:1907.09724*
98. acharya-2025-tracing-l1-interference-english-learner
99. akef-2026-llm-powered-but-rule-grounded
100. bai-2022-argument-similarity-assessment-german-intelligent

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