Biography - Kazuki Matsumaru

Kazuki Matsumaru is a master course student of computer science at Okazaki Laboratory. His research interests include natural language generation and summarization. He develops a headline generation system, where an encoder-decoder model generates a headline for a given news article.

Education

  • MSc, School of Computing, Tokyo Institute of Technology (2020)
  • BSc, Department of Information Science, Tokyo University of Science (2018)

Job Experience

Publications

Journal papers

    Invited talks

      International conferences

      1. Kazuki Matsumaru, Sho Takase, and Naoaki Okazaki. Improving Truthfulness of Headline Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 1335–1346, Online, Association for Computational Linguistics, July 2020.

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      Domestic conferences

      1. 松丸 和樹, 高瀬 翔, 岡崎 直観. 見出し生成の忠実性の改善. 言語処理学会第26回年次大会 (NLP2020), pp. 933–936, 2020年3月.

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      2. 松丸 和樹, 高瀬 翔, 岡崎 直観. 含意関係に基づく見出し生成タスクの見直し. 第240回自然言語処理研究会, 2019-NL-240(1), pp. 1–8, 2019年6月.

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