Towards generalizable entity-centric clinical coreference resolution.

Journal: Journal of biomedical informatics
PMID: 28438706

Abstract

OBJECTIVE: This work investigates the problem of clinical coreference resolution in a model that explicitly tracks entities, and aims to measure the performance of that model in both traditional in-domain train/test splits and cross-domain experiments that measure the generalizability of learned models.

Authors

  • Timothy Miller
    School of Computing and Information Systems, University of Melbourne, Victoria 3010, Australia.
  • Dmitriy Dligach
    Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL.
  • Steven Bethard
    Department of Computer and Information Science, University of Alabama at Birmingham, Birmingham, Alabama, USA, 35294.
  • Chen Lin
    Faculty of Business and Economics, University of Hong Kong, Hong Kong SAR 999077, China.
  • Guergana Savova
    Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

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