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A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners.

, , , and . INLG (Generation Challenges), page 45-52. Association for Computational Linguistics, (2023)

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Cloze Quality Estimation for Language Assessment., , and . EACL (Findings), page 540-550. Association for Computational Linguistics, (2023)A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction., , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 267-280. Association for Computational Linguistics, (2020)Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation., , , , , , and . ACL (student), page 237-243. Association for Computational Linguistics, (2020)A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners., , , and . INLG (Generation Challenges), page 45-52. Association for Computational Linguistics, (2023)ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction., , , and . LREC, page 5994-6000. European Language Resources Association, (2022)Token-length Bias in Minimal-pair Paradigm Datasets., , , and . LREC/COLING, page 16224-16236. ELRA and ICCL, (2024)Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding., , , and . CoRR, (2024)Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough?, , , , and . NAACL-HLT (1), page 1309-1314. Association for Computational Linguistics, (2019)Japanese Lexical Complexity for Non-Native Readers: A New Dataset., , , , and . BEA@ACL, page 477-487. Association for Computational Linguistics, (2023)Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction., , , , , , , and . LREC, page 5565-5572. European Language Resources Association, (2022)