Link-topic model for biomedical abbreviation disambiguation.

Journal: Journal of biomedical informatics
Published Date:

Abstract

INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt the concepts of topic of document and word link to disambiguate biomedical abbreviations.

Authors

  • Seonho Kim
    Department of Computer Science, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, Republic of Korea. Electronic address: shkim.lex@gmail.com.
  • Juntae Yoon
    Daumsoft Inc., Hannam-dong 635-1, Yongsan-gu, Seoul, Republic of Korea. Electronic address: jtyoon@daumsoft.com.