---
title: "Who cites Automatic Annotation and Evaluation of Error…"
description: "The papers of the Elamur Research library that cite «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction», found in their…"
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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.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/)

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

1. [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*
2. [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)*
3. [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)*
4. [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)*
5. [ALLECS: A Lightweight Language Error Correction System](https://aclanthology.org/2023.eacl-demo.32/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
6. [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*
7. [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*
8. [Bidirectional Transformer Reranker for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.234/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [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)*
10. [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*
11. [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)*
12. [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)*
13. [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*
14. [Data Augmentation for SentRev using Back-Translation of Lexical Bundles](https://aclanthology.org/2023.paclic-1.7/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
15. [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*
16. [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)*
17. [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*
18. [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*
19. [Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System](https://aclanthology.org/2023.bea-1.39/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
20. [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)*
21. [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)*
22. [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*
23. [Grammatical Error Correction: A Survey of the State of the Art](https://aclanthology.org/2023.cl-3.4/) *— 2023*
24. [Identifying Feedback Types to Augment Feedback Comment Generation](https://aclanthology.org/2023.inlg-genchal.5/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
25. [Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation](https://arxiv.org/abs/2304.01746) *— 2023 · arXiv:2304.01746*
26. [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*
27. [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)*
28. [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*
29. [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*
30. [New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction](https://aclanthology.org/2023.findings-emnlp.543/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
31. [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*
32. [PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models](https://aclanthology.org/2023.findings-emnlp.667/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
33. [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)*
34. [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)*
35. [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)*
36. [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*
37. [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*
38. [Sentence-level Revision with Neural Reinforcement Learning](https://aclanthology.org/2023.rocling-1.24/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
39. [Smart Word Suggestions for Writing Assistance](https://aclanthology.org/2023.findings-acl.712/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
40. [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*
41. [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)*
42. [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*
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. [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*
45. [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*
46. [Towards automatically extracting morphosyntactical error patterns from L1-L2 parallel dependency treebanks](https://aclanthology.org/2023.bea-1.50/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
47. [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)*
48. [TransGEC: Improving Grammatical Error Correction with Translationese](https://aclanthology.org/2023.findings-acl.223/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
49. [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)*
50. [Automatic Classification of Russian Learner Errors](https://aclanthology.org/2022.lrec-1.605/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
51. [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*
52. [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*
53. [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*
54. [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*
55. [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*
56. [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*
57. [Generation of Synthetic Error Data of Verb Order Errors for Swedish](https://aclanthology.org/2022.bea-1.6/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
58. [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)*
59. [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*
60. [Image Description Dataset for Language Learners](https://aclanthology.org/2022.lrec-1.735/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
61. [Improving Grammatical Error Correction for Multiword Expressions](https://aclanthology.org/2022.mwe-1.4/) *— 2022 · Proceedings of the 18th Workshop on Multiword Expressions @LREC2022*
62. [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)*
63. [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*
64. [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)*
65. [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)*
66. [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*
67. [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)*
68. [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*
69. [Semi-automatically Annotated Learner Corpus for Russian](https://aclanthology.org/2022.lrec-1.88/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
70. [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*
71. [“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*
72. [An Alignment-Agnostic Model for Chinese Text Error Correction](https://aclanthology.org/2021.findings-emnlp.30/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
73. [Automatic Error Type Annotation for Arabic](https://aclanthology.org/2021.conll-1.47/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
74. [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*
75. [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*
76. [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*
77. [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*
78. [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*
79. [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*
80. [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)*
81. [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*
82. [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*
83. [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*
84. [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)*
85. [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*
86. [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*
87. [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*
88. [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*
89. [SERRANT: a syntactic classifier for English Grammatical Error Types](https://arxiv.org/abs/2104.02310) *— 2021 · arXiv:2104.02310*
90. [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*
91. [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)*
92. [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*
93. [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*
94. [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*
95. [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*
96. [Adversarial Grammatical Error Correction](https://aclanthology.org/2020.findings-emnlp.275/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
97. [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*
98. [Data Weighted Training Strategies for Grammatical Error Correction](https://aclanthology.org/2020.tacl-1.41/) *— 2020*
99. [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*
100. [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*

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