Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT.

Journal: Methods of information in medicine
Published Date: Jul 8, 2021

Abstract

BACKGROUND: Semantic textual similarity (STS) captures the degree of semantic similarity between texts. It plays an important role in many natural language processing applications such as text summarization, question answering, machine translation, information retrieval, dialog systems, plagiarism detection, and query ranking. STS has been widely studied in the general English domain. However, there exists few resources for STS tasks in the clinical domain and in languages other than English, such as Japanese.

Authors

  • Faith Wavinya Mutinda
    Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan.
  • Shuntaro Yada
    Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan.
  • Shoko Wakamiya
    Nara Institute of Science and Technology (NAIST), Japan.
  • Eiji Aramaki
    Nara Institute of Science and Technology (NAIST), Japan.

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