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home / docs / papers / cited-by / Who cites «The BEA-2019 Shared Task on Grammatical Error Correction» · page 2

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

Pages: 1 · 2 · 3

  1. MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  2. NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  3. Non-autoregressive Text Editing with Copy-aware Latent Alignments — 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 — 2023 · UNLP 2023 @ EACL
  5. On the application of Large Language Models for language teaching and assessment technology — 2023 · arXiv:2307.08393
  6. RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  7. System Combination via Quality Estimation for Grammatical Error Correction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  8. TemplateGEC: Improving Grammatical Error Correction with Detection Template — 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 — 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 — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  13. UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
  14. Unsupervised Grammatical Error Correction Rivaling Supervised Methods — 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 — 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 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  17. EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  18. EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  19. Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction — 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 — 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 — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  22. From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  23. Frustratingly Easy System Combination for Grammatical Error Correction — 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? — 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? — 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 — 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 — 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 — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  29. Interpretability for Language Learners Using Example-Based Grammatical Error Correction — 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 — 2022 · arXiv:2205.10350
  31. Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction — 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 — 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 — 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 — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  36. ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  37. Probing for targeted syntactic knowledge through grammatical error detection — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  39. Type-Driven Multi-Turn Corrections for Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  40. Updated Headline Generation: Creating Updated Summaries for Evolving News Stories — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  42. A Simple Recipe for Multilingual Grammatical Error Correction — 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 — 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)
  44. Comparison of Grammatical Error Correction Using Back-Translation Models — 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 — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
  46. ELERRANT: Automatic Grammatical Error Type Classification for Greek — 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 — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  48. GECko+: a Grammatical and Discourse Error Correction Tool — 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 — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  50. Grammatical Error Correction with Contrastive Learning in Low Error Density Domains — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  51. Grammatical Error Generation Based on Translated Fragments — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
  52. Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding — 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 — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  55. Negative language transfer in learner English: A new dataset — 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 — 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 — 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 — 2021 · arXiv:2104.02310
  59. System Combination for Grammatical Error Correction Based on Integer Programming — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  60. Various Errors Improve Neural Grammatical Error Correction — 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
  61. Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
  62. A Crash Course in Automatic Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
  63. A Hybrid System for NLPTEA-2020 CGED Shared Task — 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 — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  65. Adversarial Grammatical Error Correction — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  66. Automated Writing Support Using Deep Linguistic Parsers — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  67. Data Weighted Training Strategies for Grammatical Error Correction — 2020
  68. ERRANT: Assessing and Improving Grammatical Error Type Classification — 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 — 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 — 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 — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  72. Grammatical error detection in transcriptions of spoken English — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  73. Heterogeneous Recycle Generation for Chinese Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  74. Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples — 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 — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  76. Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction — 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 — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  78. NeuSpell: A Neural Spelling Correction Toolkit — 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 — 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 — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  81. SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  82. Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model — 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 — 2020 · Linköping Electronic Conference Proceedings 175
  84. Toward a Paradigm Shift in Collection of Learner Corpora — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  85. (Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus — 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 — 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 — 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 — 2019
  89. Encode, Tag, Realize: High-Precision Text Editing — 2019 · arXiv:1909.01187
  90. Erroneous data generation for Grammatical Error Correction — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
  91. Learning to combine Grammatical Error Corrections — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
  92. Minimally-Augmented Grammatical Error Correction — 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
  93. Neural and FST-based approaches to grammatical error correction — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
  94. Noisy Channel for Low Resource Grammatical Error Correction — 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 — 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 — 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 — 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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