Elamur Research
☰
home / papers / The BEA-2019 Shared Task on Grammatical Error… / cited by

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. Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  2. An Extended Sequence Tagging Vocabulary for Grammatical Error Correction — 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 — 2023 · arXiv:2303.14342
  4. Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction — 2023 · Proceedings of ArabicNLP 2023
  5. Bidirectional Transformer Reranker for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  6. CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types — 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 — 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 — 2023 · arXiv:2303.13648
  9. Cloze Quality Estimation for Language Assessment — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  10. CoEdIT: Text Editing by Task-Specific Instruction Tuning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  11. Comparative Study of Models Trained on Synthetic Data for Ukrainian Grammatical Error Correction — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
  12. Comprehensive Evaluation of Translation Error Correction Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  13. Doolittle: Benchmarks and Corpora for Academic Writing Formalization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  14. ELQA: A Corpus of Metalinguistic Questions and Answers about English — 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 — 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 — 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 — 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning
  18. Enhancing Grammatical Error Correction Systems with Explanations — 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 — 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 — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  23. G-SPEED: General SParse Efficient Editing MoDel — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  24. GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding — 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 — 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
  26. Gender-Inclusive Grammatical Error Correction through Augmentation — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  28. Grammatical Error Correction: A Survey of the State of the Art — 2023
  29. Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  30. Improving Seq2Seq Grammatical Error Correction via Decoding Interventions — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  31. Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation — 2023 · arXiv:2304.01746
  32. LET: Leveraging Error Type Information for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  33. Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  36. NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  37. Non-autoregressive Text Editing with Copy-aware Latent Alignments — 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 — 2023 · UNLP 2023 @ EACL
  39. On the application of Large Language Models for language teaching and assessment technology — 2023 · arXiv:2307.08393
  40. RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation — 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? — 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
  42. System Combination via Quality Estimation for Grammatical Error Correction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  43. 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)
  44. 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
  45. 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)
  46. 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)
  47. TransGEC: Improving Grammatical Error Correction with Translationese — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  48. UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
  49. Unsupervised Grammatical Error Correction Rivaling Supervised Methods — 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 — 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 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  52. Developing a Spell and Grammar Checker for Icelandic using an Error Corpus — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  53. EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  54. EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  55. 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)
  56. 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
  57. Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  58. FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  59. From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  60. 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
  61. 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)
  62. Grammatical Error Correction: Are We There Yet? — 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 — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. Image Description Dataset for Language Learners — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  65. Improved grammatical error correction by ranking elementary edits — 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 — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  67. 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)
  68. Lossless Acceleration for Seq2seq Generation with Aggressive Decoding — 2022 · arXiv:2205.10350
  69. Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  70. Mitigating Learnerese Effects for CEFR Classification — 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 — 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 — 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 — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  75. ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  76. Probing for targeted syntactic knowledge through grammatical error detection — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  78. Type-Driven Multi-Turn Corrections for Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  79. 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)
  80. arXivEdits: Understanding the Human Revision Process in Scientific Writing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  81. 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)
  82. 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)
  83. 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
  84. Document-level grammatical error correction — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
  85. ELERRANT: Automatic Grammatical Error Type Classification for Greek — 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 — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  87. GECko+: a Grammatical and Discourse Error Correction Tool — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  89. Grammatical Error Correction as GAN-like Sequence Labeling — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  90. Grammatical Error Correction with Contrastive Learning in Low Error Density Domains — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  91. Grammatical Error Generation Based on Translated Fragments — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
  92. Identifying negative language transfer in learner errors using POS information — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
  93. 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)
  94. LM-Critic: Language Models for Unsupervised Grammatical Error Correction — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  96. 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
  97. 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
  98. 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
  99. SERRANT: a syntactic classifier for English Grammatical Error Types — 2021 · arXiv:2104.02310
  100. Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications

Pages: 1 · 2 · 3