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ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction.

, , , and . LREC, page 5994-6000. European Language Resources Association, (2022)

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Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (3): 89:1-89:12 (March 2023)CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation., , , and . CoRR, (2023)Cloze Quality Estimation for Language Assessment., , and . EACL (Findings), page 540-550. Association for Computational Linguistics, (2023)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)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)ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction., , , and . LREC, page 5994-6000. European Language Resources Association, (2022)GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors., and . CoRR, (2019)Do Grammatical Error Correction Models Realize Grammatical Generalization?, and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4554-4561. Association for Computational Linguistics, (2021)The AIP-Tohoku System at the BEA-2019 Shared Task., , , and . BEA@ACL, page 176-182. Association for Computational Linguistics, (2019)