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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

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  1. n-gram F-score for Evaluating Grammatical Error Correction — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  2. A Closer Look at k-Nearest Neighbors Grammatical Error Correction — 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 — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
  4. A query engine for L1-L2 parallel dependency treebanks — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
  5. ALLECS: A Lightweight Language Error Correction System — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  7. An Extended Sequence Tagging Vocabulary for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  8. Bidirectional Transformer Reranker for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  9. Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora — 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 — 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 — 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 — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
  13. Comprehensive Evaluation of Translation Error Correction Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  14. Data Augmentation for SentRev using Back-Translation of Lexical Bundles — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  16. Enhancing Grammatical Error Correction Systems with Explanations — 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 — 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 — 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 — 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 — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  23. Grammatical Error Correction: A Survey of the State of the Art — 2023
  24. Identifying Feedback Types to Augment Feedback Comment Generation — 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 — 2023 · arXiv:2304.01746
  26. Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  27. 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)
  28. MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  29. MultiGED-2023 shared task at NLP4CALL: Multilingual Grammatical Error Detection — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  31. Non-autoregressive Text Editing with Copy-aware Latent Alignments — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  33. Rating Short L2 Essays on the CEFR Scale with GPT-4 — 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 — 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 — 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 — 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? — 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
  38. Sentence-level Revision with Neural Reinforcement Learning — 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
  39. Smart Word Suggestions for Writing Assistance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  40. System Combination via Quality Estimation for Grammatical Error Correction — 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 — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
  42. Template-guided Grammatical Error Feedback Comment Generation — 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 — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  45. 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
  46. Towards automatically extracting morphosyntactical error patterns from L1-L2 parallel dependency treebanks — 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 — 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 — 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 — 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 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  51. Automatic Correction of Human Translations — 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 — 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics
  53. Enriching Grammatical Error Correction Resources for Modern Greek — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  54. 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
  55. Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  56. 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
  57. Generation of Synthetic Error Data of Verb Order Errors for Swedish — 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? — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  60. Image Description Dataset for Language Learners — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  61. Improving Grammatical Error Correction for Multiword Expressions — 2022 · Proceedings of the 18th Workshop on Multiword Expressions @LREC2022
  62. 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)
  63. 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
  64. 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)
  65. 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)
  66. ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  67. Probing for targeted syntactic knowledge through grammatical error detection — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
  68. Revisiting Grammatical Error Correction Evaluation and Beyond — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  69. Semi-automatically Annotated Learner Corpus for Russian — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  70. 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
  71. ``Is Whole Word Masking Always Better for Chinese BERT?'''': Probing on Chinese Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  72. An Alignment-Agnostic Model for Chinese Text Error Correction — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  73. Automatic Error Type Annotation for Arabic — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  75. 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
  76. Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  77. Data-to-text Generation by Splicing Together Nearest Neighbors — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  78. Do Grammatical Error Correction Models Realize Grammatical Generalization? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  79. Document-level grammatical error correction — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
  80. ELERRANT: Automatic Grammatical Error Type Classification for Greek — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  81. GECko+: a Grammatical and Discourse Error Correction Tool — 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 — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  83. Grammatical Error Correction with Contrastive Learning in Low Error Density Domains — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  84. Grammatical Error Generation Based on Translated Fragments — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
  85. How Good (really) are Grammatical Error Correction Systems? — 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 — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  88. 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
  89. SERRANT: a syntactic classifier for English Grammatical Error Types — 2021 · arXiv:2104.02310
  90. 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
  91. 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)
  92. Various Errors Improve Neural Grammatical Error Correction — 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
  93. Visual Cues and Error Correction for Translation Robustness — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  94. A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction — 2020 · Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications
  95. A Crash Course in Automatic Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
  96. Adversarial Grammatical Error Correction — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  97. Cross-lingual Transfer Learning for Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  98. Data Weighted Training Strategies for Grammatical Error Correction — 2020
  99. Developing NLP Tools with a New Corpus of Learner Spanish — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  100. 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

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