The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Oct 1, 2020

Abstract

OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.

Authors

  • Maxwell A Weinzierl
    Human Language Technology Research Institute, Department of Computer Science, Erik Jonsson School of Engineering & Computer Science, University of Texas at Dallas, Richardson, Texas, USA.
  • Ramon Maldonado
    The University of Texas at Dallas, Richardson, TX.
  • Sanda M Harabagiu
    The University of Texas at Dallas, Richardson, TX.

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