Lexical acquisition for clinical text mining using distributional similarity

  • Authors:
  • John Carroll;Rob Koeling;Shivani Puri

  • Affiliations:
  • Department of Informatics, University of Sussex, Brighton, UK;Department of Informatics, University of Sussex, Brighton, UK;GPRD, London, UK

  • Venue:
  • CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
  • Year:
  • 2012

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Abstract

We describe experiments into the use of distributional similarity for acquiring lexical information from clinical free text, in particular notes typed by primary care physicians (general practitioners). We also present a novel approach to lexical acquisition from ‘sensitive' text, which does not require the text to be manually anonymised --- a very expensive process --- and therefore allows much larger datasets to be used than would normally be possible.