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# Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction» · page 2

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](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. [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. [MultiGED-2023 shared task at NLP4CALL: Multilingual Grammatical Error Detection](https://aclanthology.org/2023.nlp4call-1.1/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
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. [Rating Short L2 Essays on the CEFR Scale with GPT-4](https://aclanthology.org/2023.bea-1.49/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
5. [RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans](https://aclanthology.org/2023.unlp-1.15/) *— 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)*
6. [Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework](https://aclanthology.org/2023.acl-long.779/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [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*
8. [Smart Word Suggestions for Writing Assistance](https://aclanthology.org/2023.findings-acl.712/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [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*
10. [System Report for CCL23-Eval Task 7: THU KELab (sz) - Exploring Data Augmentation and Denoising for Chinese Grammatical Error Correction](https://aclanthology.org/2023.ccl-3.29/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)*
11. [Template-guided Grammatical Error Feedback Comment Generation](https://aclanthology.org/2023.eacl-srw.10/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
12. [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)*
13. [Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation](https://aclanthology.org/2023.emnlp-demo.30/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
14. [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*
15. [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)*
16. [TransGEC: Improving Grammatical Error Correction with Translationese](https://aclanthology.org/2023.findings-acl.223/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
17. [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)*
18. [Automatic Classification of Russian Learner Errors](https://aclanthology.org/2022.lrec-1.605/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
19. [Automatic Correction of Human Translations](https://aclanthology.org/2022.naacl-main.36/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
20. [Dynamic Negative Example Construction for Grammatical Error Correction using Contrastive Learning](https://aclanthology.org/2022.ccl-1.83/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
21. [Enriching Grammatical Error Correction Resources for Modern Greek](https://aclanthology.org/2022.lrec-1.532/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
22. [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*
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. [IMPARA: Impact-Based Metric for GEC Using Parallel Data](https://aclanthology.org/2022.coling-1.316/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
26. [Improving Grammatical Error Correction for Multiword Expressions](https://aclanthology.org/2022.mwe-1.4/) *— 2022 · Proceedings of the 18th Workshop on Multiword Expressions @LREC2022*
27. [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)*
28. [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*
29. [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)*
30. [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)*
31. [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*
32. [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)*
33. [Revisiting Grammatical Error Correction Evaluation and Beyond](https://aclanthology.org/2022.emnlp-main.463/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
34. [Semi-automatically Annotated Learner Corpus for Russian](https://aclanthology.org/2022.lrec-1.88/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
35. [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*
36. [``Is Whole Word Masking Always Better for Chinese BERT?'''': Probing on Chinese Grammatical Error Correction](https://aclanthology.org/2022.findings-acl.1/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
37. [Automatic Error Type Annotation for Arabic](https://aclanthology.org/2021.conll-1.47/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
38. [Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models](https://aclanthology.org/2021.findings-emnlp.216/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
39. [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*
40. [Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction](https://aclanthology.org/2021.conll-1.17/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
41. [Data-to-text Generation by Splicing Together Nearest Neighbors](https://aclanthology.org/2021.emnlp-main.352/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
42. [Do Grammatical Error Correction Models Realize Grammatical Generalization?](https://aclanthology.org/2021.findings-acl.399/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
43. [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*
44. [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)*
45. [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*
46. [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*
47. [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*
48. [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)*
49. [How Good (really) are Grammatical Error Correction Systems?](https://aclanthology.org/2021.eacl-main.231/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
50. [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*
51. [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*
52. [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*
53. [SERRANT: a syntactic classifier for English Grammatical Error Types](https://arxiv.org/abs/2104.02310) *— 2021 · arXiv:2104.02310*
54. [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)*
55. [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*
56. [Visual Cues and Error Correction for Translation Robustness](https://aclanthology.org/2021.findings-emnlp.271/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
57. [A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction](https://aclanthology.org/2020.bea-1.21/) *— 2020 · Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications*
58. [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*
59. [Adversarial Grammatical Error Correction](https://aclanthology.org/2020.findings-emnlp.275/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
60. [Cross-lingual Transfer Learning for Grammatical Error Correction](https://aclanthology.org/2020.coling-main.415/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
61. [Data Weighted Training Strategies for Grammatical Error Correction](https://aclanthology.org/2020.tacl-1.41/) *— 2020*
62. [Developing NLP Tools with a New Corpus of Learner Spanish](https://aclanthology.org/2020.lrec-1.894/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
63. [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*
64. [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*
65. [Gender-Aware Reinflection using Linguistically Enhanced Neural Models](https://aclanthology.org/2020.gebnlp-1.12/) *— 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing*
66. [Generating Inflectional Errors for Grammatical Error Correction in Hindi](https://aclanthology.org/2020.aacl-srw.24/) *— 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: Student Research Workshop*
67. [GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors](https://aclanthology.org/2020.lrec-1.835/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
68. [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)*
69. [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*
70. [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*
71. [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*
72. [PyMT5: multi-mode translation of natural language and Python code with transformers](https://aclanthology.org/2020.emnlp-main.728/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
73. [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*
74. [Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation](https://aclanthology.org/2020.coling-main.188/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
75. [The Teacher-Student Chatroom Corpus](https://arxiv.org/abs/2011.07109) *— 2020 · Linköping Electronic Conference Proceedings 175*
76. [What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?](https://aclanthology.org/2020.repl4nlp-1.24/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
77. [(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*
78. [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*
79. [A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors](https://aclanthology.org/N19-1251/) *— 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)*
80. [An Analysis of Source-Side Grammatical Errors in NMT](https://aclanthology.org/W19-4822/) *— 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
81. [An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction](https://aclanthology.org/D19-1119/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
82. [Controlling Grammatical Error Correction Using Word Edit Rate](https://aclanthology.org/P19-2020/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
83. [Corpora Generation for Grammatical Error Correction](https://aclanthology.org/N19-1333/) *— 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)*
84. [Cross-Sentence Grammatical Error Correction](https://aclanthology.org/P19-1042/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
85. [Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance](https://aclanthology.org/W19-8606/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
86. [Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses](https://aclanthology.org/Q19-1032/) *— 2019*
87. [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*
88. [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*
89. [Minimally-Augmented Grammatical Error Correction](https://aclanthology.org/D19-5546/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
90. [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*
91. [TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track](https://aclanthology.org/W19-4422/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
92. [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*
93. [The BEA-2019 Shared Task on Grammatical Error Correction](https://md.mova.elamur.ai/free/en/docs/papers/bryant-2019-bea-2019-shared-task-grammatical/) *— our card · 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
94. [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*
95. [The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction](https://aclanthology.org/W19-4412/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
96. [Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus](https://arxiv.org/abs/1907.09724) *— 2019 · arXiv:1907.09724*
97. [A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction](https://arxiv.org/abs/1801.08831) *— 2018 · arXiv:1801.08831*
98. [A Reassessment of Reference-Based Grammatical Error Correction Metrics](https://aclanthology.org/C18-1231/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
99. [An Annotated Corpus of Picture Stories Retold by Language Learners](https://aclanthology.org/W18-4914/) *— 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)*
100. [Automatic Metric Validation for Grammatical Error Correction](https://aclanthology.org/P18-1127/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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