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

, , и . INLG (Generation Challenges), стр. 53-59. Association for Computational Linguistics, (2023)

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