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Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?

, , and . INLG (Generation Challenges), page 53-59. Association for Computational Linguistics, (2023)

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Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?, , and . CoRR, (2022)A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging., and . WAC@LREC, page 50-56. European Language Resources Association, (2020)MultiMUC: Multilingual Template Filling on MUC-4., , , , , , and . EACL (1), page 349-368. Association for Computational Linguistics, (2024)Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?, , and . INLG (Generation Challenges), page 53-59. Association for Computational Linguistics, (2023)ELQA: A Corpus of Questions and Answers about the English Language., , , and . CoRR, (2022)ELQA: A Corpus of Metalinguistic Questions and Answers about English., , , and . ACL (1), page 2031-2047. Association for Computational Linguistics, (2023)Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles., , and . SemEval@COLING, page 1502-1508. International Committee for Computational Linguistics, (2020)GUMBY - A Free, Balanced, and Rich English Web Corpus., , , , , and . LREC, page 5267-5275. European Language Resources Association, (2020)Assessing Online Writing Feedback Resources: Generative AI vs. Good Samaritans., , and . LREC/COLING, page 1638-1644. ELRA and ICCL, (2024)GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation., , , , , , , , and . CoRR, (2023)