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A statistical natural language processor for medical reports.

Authors
  • Taira, R K
  • Soderland, S G
Type
Published Article
Journal
Proceedings / AMIA ... Annual Symposium. AMIA Symposium
Publication Date
Jan 01, 1999
Pages
970–974
Identifiers
PMID: 10566505
Source
Medline
License
Unknown

Abstract

Statistical natural language processors have been the focus of much research during the past decade. The main advantage of such an approach over grammatical rule-based approaches is its scalability to new domains. We present a statistical NLP for the domain of radiology and report on methods of knowledge acquisition, parsing, semantic interpretation, and evaluation. Preliminary performance data are given. A discussion of the perceived benefit, limitations and future work is presented.

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