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 | 163 | 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 | 144 | 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 | 32 | 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 | 26 | 2019 |
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 | 19 | 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 | 18 | 2021 |
Do grammatical error correction models realize grammatical generalization? M Mita, H Yanaka Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 15 | 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 | 14 | 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 | 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 | 8 | 2022 |
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 | 8 | 2020 |
Document classification device, document classification method and document classification program K Murakami, M Masato US Patent 11,657,077, 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 |
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 |
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 | 2 | 2023 |
Cloze Quality Estimation for Language Assessment Z Zhang, M Mita, M Komachi Findings of the Association for Computational Linguistics: EACL 2023, 540-550, 2023 | 2 | 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 | 1 | 2023 |
日本語文法誤り訂正評価コーパスへの誤用タグ付け 小山碧海, 喜友名朝視顕, 三田雅人, 岡照晃, 小町守 研究報告自然言語処理 (NL) 2022 (17), 1-9, 2022 | 1 | 2022 |
ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction Y Takahashi, M Kaneko, M Mita, M Komachi Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 1 | 2022 |
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction D Suzuki, Y Takahashi, I Yamashita, T Aida, T Hirasawa, M Nakatsuji, ... Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022 | 1 | 2022 |