Ph.D. (Information Science)
Lead Research Scientist at CyberAgent, Inc (AI Lab).
Project Assistant Professor at Natural Language Processing Laboratory, Tokyo Metropolitan University
Visiting Scientist at Natural Language Understanding Team, RIKEN AIP.
This is the old page. Please refer to the new page for the latest information:
Natural Language Processing, Computational Linguistics
NLP for Education & Advertisement, Resource & Evaluation,
See also ACL Anthology and Google Scholar.
Aomi Koyama, Tomoshige Kiyuna, Kenji Kobayashi, Mio Arai, Masato Mita, Teruaki Oka and Mamoru Komachi. Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction. Journal of Natural Language Processing (in Japanese) Vol.30, No.2. (2023.6). [Paper]
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]
Ikumi Yamashita, Masahiro Kaneko, Masato Mita, Satoru Katsumata, Aizhan Imankulova, Mamoru Komachi. Grammatical Error Correction with Pre-trained Model and Multilingual Learner Corpus for Cross-lingual Transfer Learning. Journal of Natural Language Processing (in Japanese) Vol.29, No.2. (2022.6). [Paper]
Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui. Phenomenon-wise Evaluation Dataset Towards Analyzing Robustness of Machine Translation Models. Journal of Natural Language Processing (in Japanese) Vol.28, No.2. (2021.6). [Paper]
Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui. Cross-Sectional Evaluation of Grammatical Error Correction Models. Journal of Natural Language Processing (in Japanese) Vol.28, No.1. (2021.3). [Paper]
Zizheng Zhang, Masato Mita, Mamoru Komachi.ClozEx: A Task toward Generation of English Cloze Explanation. Findings of EMNLP 2023. [Paper]
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]
Zizheng Zhang, Masato Mita, Mamoru Komachi. Cloze Quality Estimation for Language Assessment. Findings of EACL 2023. [Paper]
Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi. Proficiency Matters Quality Estimation in Grammatical Error Correction. Proceedings of the LREC 2022. [Paper]
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]
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]
Masato Mita, Hitomi Yanaka. Do Grammatical Error Correction Models Realize Grammatical Generalization?. Findings of the ACL-IJCNLP 2021. [Paper]
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]
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]
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]
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]
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]
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)]
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]
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]
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]
Tomoya Mizumoto, Masato Mita, Yuji Matsumoto. Grammatical Error Correction Considering Multi-word Expressions. ACL-IJCNLP Workshop TEA, 2015. [Paper]
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]
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]
Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang. CAMERA: A Multimodal Dataset and Benchmark for Ad Text Generation. arXiv:2309.12030. [Paper] [Data]
2023.12 Outstanding Research Award, The 258th Special Interest Group on Natural Language Processing (SIG-NL)
2023.8 Incentive Award, The 18th NLP Symposium for Young Researchers
2023.3 Committee Member's Special Award, The 29th Annual Meeting of ANLP
2022.3 Outstanding Award, The 28th Annual Meeting of ANLP
2020.3 Young Researcher Award, The 26th Annual Meeting of ANLP
2020.3 Outstanding Award, The 26th Annual Meeting of ANLP
2019.8 Incentive Award, The 14th NLP Symposium for Young Researchers
2019.8 Budding Researchers Award, The 14th NLP Symposium for Young Researchers
2014.9 Incentive Award (Hackathon), The 9th NLP Symposium for Young Researchers
Organizer in GenChal 2022: Feedback Comment Generation
Committee member in SIG-NL Steering Committee
2022.6 - Current CyberAgent, Inc. Research Scientist
2021.10 - Current Tokyo Metropolitan University, Project Assistant Professor (PI: Dr. Mamoru Komachi)
2019.10 - 2020.12 Megagon Labs Japan (formerly Recruit Institute of Technology), Contract Researcher
2018.2 - 2022.5 RIKEN Center for Advanced Intelligence Project (AIP), Researcher
2016.4 - 2018.1 Microsoft Japan, Engineer
2015.10 - 2015.12 Rakuten Institute of Technology - New York (RIT-NY), Research Intern (Mentor: Dr. Koji Murakami)
2014.8 - 2014.8 NTT Communication Science Laboratories, Research Intern (Mentor: Dr. Katsuhito Sudoh)
2018.10 - 2021.9 Ph.D. in Information Science, Tohoku University (Supervisor: Prof. Kentaro Inui)
2014.4 - 2016.3 M.S. in Engineering, Nara Institute of Science and Technology (Supervisor: Prof. Yuji Matsumoto)
2010.4 - 2014.3 B.A. , Prefectural University of Hiroshima
Natural Language: Japanese (native), English (OK; TOEIC 820)
Artificial Language: Python, C