Yuichiroh Matsubayashi
@Yucchiiro
I am an Associate Professor at Graduate School of Education, Tohoku University.
I received my Ph.D degree in Information Science and Technology from the University of
Tokyo in 2010. My research interests are Human/Artificial Intelligence and Computational
Linguistics, in
particular, on modeling a communication process of human, building a semantics of
natural language,
as well as semantic processing of natural language text.
I have received several awards including the IPSJ Yamashita SIG Research Award from
the Information Processing Society of Japan (IPSJ) and the Best
Journal Paper Award from the Association for Natural Language
Processing (ANLP) (two times). I am a member of the Association of Computational
Linguistics (ACL), ANLP, IPSJ and the Japan Society of Artificial
Intelligence (JSAI).
Profile
Associate Professor / 准教授
Graduate School of Education / Faculty of Education,
Tohoku University
東北大学 教育学研究科 / 教育学部 教育情報アセスメント講座
東北大学 タフ・サイバーフィジカルAI研究センター（兼務）
東北大学 情報科学研究科（兼務）
Visiting Researcher / 客員研究員
Natural Language Understanding Team,
RIKEN Center for Advanced Intelligence Project, Japan /
理化学研究所 革新知能統合研究センター 自然言語理解チーム
Ph. D in Information Science & Technology (The University of Tokyo) /
博士（情報理工学）（東京大学）
Contact Address
研究室 Website: https://www.edunlp.sed.tohoku.ac.jp/
Communication Science Laboratory
27-1 Kawauchi, Aoba-ku, Sendai, Miyagi 980-8576, JAPAN
980-8576 宮城県仙台市青葉区川内27-1 東北大学 文化系総合研究棟 教育学研究科
980-8576 宮城県仙台市青葉区川内27-1 東北大学 文化系総合研究棟 教育学研究科
y.m at tohoku ac jp
Selected Publications
- Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui. (2022) Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring. In Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED), pp.465-476, July 2022.
- Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui. (2021) Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.3790–3806, November 2021.
- Yuichiroh Matsubayashi and Kentaro Inui. (2018) Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), pp. 94-106.
- Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui and Tomoyasu Nakano. (2018) A Melody-conditioned Lyrics Language Model. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp. 163–172.
- Yuichiroh Matsubayashi, Kentaro Inui. (2017) Revisiting Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis. In Proceedings of IJCNLP, pp. 128-133.
- 松林優一郎, 中山周, 乾健太郎 (2015). 日本語述語項構造解析タスクにおける項の省略を伴う事例の分析. 自然言語処理. 22巻5号. pp.433-463.
- Yuichiroh Matsubayashi, Naoaki Okazaki, Jun’ichi Tsujii (2014) Generalization of Semantic Roles in Automatic Semantic Role Labeling. Journal of Natural Language Processing. Vol. 21 No. 4, pp. 841-875.
- 松林優一郎, 飯田龍, 笹野遼平, 横野光, 松吉俊, 藤田篤, 宮尾祐介, 乾健太郎 (2014) 日本語文章に対する述語項構造アノテーション仕様の考察. 自然言語処理. 21巻2号, pp. 331-378.
- Yuichiroh Matsubayashi, Yusuke Miyao and Akiko Aizawa (2012) Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure: Comparison with VerbNet and FrameNet. In Proceedings of the EACL, pp. 686-695.
- Graham Neubig, Yuichiroh Matsubayashi, Masato Hagiwara, Koji Murakami (2011) Safety Information Mining — What can NLP do in a disaster —. In Proceedings of IJCNLP, pp. 965-973.