A clinical specific BERT developed using a huge Japanese clinical text corpus

• Yoshimasa Kawazoe ,

  Contributed equally to this work with: Yoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, Eiji Aramaki, Kazuhiko Ohe

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: kawazoe@m.u-tokyo.ac.jp

  Affiliation Artificial Intelligence in Healthcare, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

  https://orcid.org/0000-0002-7277-0827

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• Daisaku Shibata ,

  Contributed equally to this work with: Yoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, Eiji Aramaki, Kazuhiko Ohe

  Roles Investigation, Methodology

  Affiliation Artificial Intelligence in Healthcare, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

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• Emiko Shinohara ,

  Contributed equally to this work with: Yoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, Eiji Aramaki, Kazuhiko Ohe

  Roles Conceptualization, Resources

  Affiliation Artificial Intelligence in Healthcare, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

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• Eiji Aramaki ,

  Contributed equally to this work with: Yoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, Eiji Aramaki, Kazuhiko Ohe

  Roles Supervision, Writing – review & editing

  Affiliation Social Computing Lab, Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan

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• Kazuhiko Ohe

  Contributed equally to this work with: Yoshimasa Kawazoe, Daisaku Shibata, Emiko Shinohara, Eiji Aramaki, Kazuhiko Ohe

  Roles Resources, Supervision

  Affiliation Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

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