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Our Researchers

October 31, 2019

Kazeto Yamamoto

Automated Reasoning Research Group
Data Science Research Laboratories

Research Domains

  • Natural Language Processing
  • Logical Inference

Academic/Career History

  • March 2011: Bachelor of Engineering
    Faculty of Engineering, Tohoku University
    Supervisor: Prof. Kentaro Inui
  • March 2013: Master of Information Science
    Graduate School of Information Sciences, Tohoku University
    Supervisor: Prof. Kentaro Inui
  • March 2016: Doctor of Information Science Graduate School of Information Sciences, Tohoku University Supervisor: Prof. Kentaro Inui

Publication

Journals

  • Katsumi Hisao, Koichiro Yoshino, Takuya Hiraoka, Kosuke Akimoto, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa, Satoshi Nakamura. Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System (in Japanese). Journal of The Japanese Society for Artificial Intelligence, 2020.
  • Kazeto Yamamoto, Naoya Inoue, Kentaro Inui. Boosting Abductive Reasoning with Functional Literals. Journal of Natural Language Processing, Vol.23, No.3, June 2016. (in Japanese)
  • Kazeto Yamamoto, Naoya Inoue, Kentaro Inui, Yuki Arase and Jun'ichi Tsujii. Boosting the Efficiency of First-order Abductive Reasoning Using Pre-estimated Relatedness between Predicates. International Journal of Machine Learning and Computing, Vol. 5, No. 2, pp. 114-120. April 2015.

International Conferences/Workshops

  • Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa and Satoshi Nakamura. Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System. The Thirty-Third AAAI Conference on Artificial Intelligence, Workshop on Reasoning and Learning for Human-Machine Dialogues (DEEP-DIAL 2019), January, 2019.
  • Kazeto Yamamoto, Takashi Onishi, and Yoshimasa Tsuruoka. Hierarchical Reinforcement Learning with Abductive Planning. IJCAI 2018 Workshop on Planning and Learning, 2018.
  • Shota Motoura, Kazeto Yamamoto, Shumpei Kubosawa, and Takashi Onishi. Translating MFM into FOL: towards plant operation planning. Proceedings of the Third International Workshop on Functional Modelling for Design and Operation of Engineering Systems, 24 - 25 May, 2018, Kurashiki, Japan
  • Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki and Kentaro Inui. Finding The Best Model Among Representative Compositional Models. In proceedings of the 28th Pacific Asia Conference on Language, Information and Computing (PACLIC). December, 2014.
  • Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki and Kentaro Inui. Discriminative Learning of First-order Weighted Abduction from Partial Discourse Explanations. In Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics. Part 1, pp. 545-558. March 2013.