| An empirical study of incorporating pseudo data into grammatical error correction S Kiyono, J Suzuki, M Mita, T Mizumoto, K Inui Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 178 | 2019 |
| Encoder-decoder models can benefit from pre-trained masked language models in grammatical error correction M Kaneko, M Mita, S Kiyono, J Suzuki, K Inui Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 168 | 2020 |
| GitHub typo corpus: A large-scale multilingual dataset of misspellings and grammatical errors M Hagiwara, M Mita Proceedings of the Twelfth Language Resources and Evaluation Conference, 2019 | 36 | 2019 |
| Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models---Is Single-Corpus Evaluation Enough? M Mita, T Mizumoto, M Kaneko, R Nagata, K Inui Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 28 | 2019 |
| Shared task on feedback comment generation for language learners R Nagata, M Hagiwara, K Hanawa, M Mita, A Chernodub, O Nahorna Proceedings of the 14th International Conference on Natural Language …, 2021 | 25 | 2021 |
| The AIP-Tohoku system at the BEA-2019 shared task H Asano, M Mita, T Mizumoto, J Suzuki Proceedings of the fourteenth workshop on innovative use of NLP for building …, 2019 | 22 | 2019 |
| Do grammatical error correction models realize grammatical generalization? M Mita, H Yanaka Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 18 | 2021 |
| Taking the correction difficulty into account in grammatical error correction evaluation T Gotou, R Nagata, M Mita, K Hanawa Proceedings of the 28th International Conference on Computational …, 2020 | 17 | 2020 |
| A self-refinement strategy for noise reduction in grammatical error correction M Mita, S Kiyono, M Kaneko, J Suzuki, K Inui Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 16 | 2020 |
| Preventing critical scoring errors in short answer scoring with confidence estimation H Funayama, S Sasaki, Y Matsubayashi, T Mizumoto, J Suzuki, M Mita, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 14 | 2020 |
| Towards automated document revision: Grammatical error correction, fluency edits, and beyond M Mita, K Sakaguchi, M Hagiwara, T Mizumoto, J Suzuki, K Inui arXiv preprint arXiv:2205.11484, 2022 | 13 | 2022 |
| Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction M Kobayashi, M Mita, M Komachi arXiv preprint arXiv:2403.17540, 2024 | 9 | 2024 |
| Document classification device, document classification method and document classification program K Murakami, M Masato US Patent 11,657,077, 2023 | 7 | 2023 |
| Revisiting meta-evaluation for grammatical error correction M Kobayashi, M Mita, M Komachi Transactions of the Association for Computational Linguistics 12, 837-855, 2024 | 6 | 2024 |
| Japanese Lexical Complexity for Non-Native Readers: A New Dataset Y Ide, M Mita, A Nohejl, H Ouchi, T Watanabe Proceedings of the 18th Workshop on Innovative Use of NLP for Building …, 2023 | 5 | 2023 |
| Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data H Wang, M Kurosawa, S Katsumata, M Mita, M Komachi ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023 | 5 | 2023 |
| PheMT: A phenomenon-wise dataset for machine translation robustness on user-generated contents R Fujii, M Mita, K Abe, K Hanawa, M Morishita, J Suzuki, K Inui Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 5 | 2020 |
| Cloze quality estimation for language assessment Z Zhang, M Mita, M Komachi Journal of Natural Language Processing 31 (2), 328-348, 2024 | 4 | 2024 |
| Grammatical error correction considering multi-word expressions T Mizumoto, M Mita, Y Matsumoto Proceedings of the 2nd Workshop on Natural Language Processing Techniques …, 2015 | 4 | 2015 |
| Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation M Mita, S Murakami, A Kato, P Zhang arXiv preprint arXiv:2309.12030, 2023 | 3 | 2023 |
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