三田雅人 

研究発表

論文誌

1. 小山 碧海, 喜友名 朝視顕, 小林 賢治, 新井 美桜, 三田 雅人, 岡 照晃, 小町 守. 日本語文法誤り訂正のための誤用タグ付き評価コーパスの構築. 自然言語処理 30巻2号. (2023.6) [Paper]

2. Hongfei Wang, Michiki Kurosawa, Satoru Katsumata,  Masato Mita, Mamoru Komachi. Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data. Transactions on Asian and Low-Resource Language Information Processing (TALIP). [Paper]

3. 山下 郁海, 金子 正弘, 三田 雅人, 勝又 智, Aizhan Imankulova, 小町 守. 言語間での転移学習のための事前学習モデルと多言語の学習者データを用いた文法誤り訂正. 自然言語処理 29巻2号. (2022.6). [Paper]

4. 藤井 諒, 三田 雅人, 阿部 香央莉, 塙 一晃, 森下 睦, 鈴木 潤, 乾 健太郎. 機械翻訳モデルの頑健性評価に向けた言語現象毎データセットの構築と分析.  自然言語処理 28巻2号. (2021.6). [Paper]

5. 三田 雅人, 水本 智也, 金子 正弘, 永田 亮, 乾 健太郎. 文法誤り訂正モデルの横断評価. 自然言語処理 28巻1号. (2021.3). [Paper]

国際会議・ワークショップ（査読あり）

1. Zizheng Zhang, Masato Mita, Mamoru Komachi.ClozEx: A Task toward Generation of English Cloze Explanation. Findings of EMNLP 2023. [Paper]

2. Yusuke Ide, Masato Mita, Adam Nohejl,  Hiroki Ouchi, and Taro Watanabe. Japanese Lexical Complexity for Non-Native Readers: a New Dataset. ACL Workshop, BEA 2023. [Paper]

3. Zizheng Zhang, Masato Mita, Mamoru Komachi. Cloze Quality Estimation for Language Assessment. Findings of EACL 2023. [Paper]

4. Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi. Proficiency Matters Quality Estimation in Grammatical Error Correction. Proceedings of the LREC 2022. [Paper]

5. Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi. Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. Proceedings of the LREC 2022. [Paper]

6. Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna. Shared Task on Feedback Comment Generation for Language Learners. Proceedings of the INLG 2021. [Paper]

7. Masato Mita, Hitomi Yanaka. Do Grammatical Error Correction Models Realize Grammatical Generalization?. Findings of the ACL-IJCNLP 2021. [Paper]

8. Takumi Gotou, Ryo Nagata, Masato Mita, Kazuaki Hanawa. Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation. Proceedings of the COLING 2020. [Paper]

9. Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui. PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. Proceedings of the COLING 2020. [Paper]

10. Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui. A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. Findings of the EMNLP 2020. [Paper]

11. Hiroaki Funayama, Shota Sasaki, Yuichiro Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui. Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. Proceedings of the ACL SRW 2020. [Paper]

12. Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui. Can Encoder-decoder Models Benefit from Pre-trained Language Representation in Grammatical Error Correction?. Proceedings of the ACL 2020. [Paper] [Code]

13. Masato Hagiwara, Masato Mita. GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors. Proceedings of the LREC 2020. [Paper] [Project (code&data)]

14. Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui. An Empirical Study of Incorporating Pseudo Data to Grammatical Error Correction. Proceedings of EMNLP-IJCNLP 2019. [Paper] [Code]

15. Hiroki Asano,  Masato Mita, Tomoya Mizumoto, Jun Suzuki. The AIP-Tohoku System at the BEA-2019 Shared Task. ACL Workshop BEA, 2019.  2nd place at the unrestricted track [Paper] [Results]

16. Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui.  Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough?. Proceedings of the NAACL-HLT 2019. [Paper] [Code]

17. Tomoya Mizumoto, Masato Mita, Yuji Matsumoto. Grammatical Error Correction Considering Multi-word Expressions. ACL-IJCNLP Workshop TEA, 2015. [Paper]

国際会議・ワークショップ・プレプリント (査読なし)

1. Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. arXiv:2205.11484. [Paper] [Data]

2. Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita. A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners. Proceedings of the INLG 2023. [Paper]

3. Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang. CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation. arXiv:2309.12030. [Paper] [Data]