Domain adaption of parsing for operative notes.

Journal: Journal of biomedical informatics
Published Date:

Abstract

BACKGROUND: Full syntactic parsing of clinical text as a part of clinical natural language processing (NLP) is critical for a wide range of applications. Several robust syntactic parsers are publicly available to produce linguistic representations for sentences. However, these existing parsers are mostly trained on general English text and may require adaptation for optimal performance on clinical text. Our objective was to adapt an existing general English parser for the clinical text of operative reports via lexicon augmentation, statistics adjusting, and grammar rules modification based on operative reports.

Authors

  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Serguei Pakhomov
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • James O Ryan
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States.
  • Genevieve B Melton
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.