A statistical natural language processor for medical reports.
- 1 January 1999
- journal article
- p. 970-4
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.This publication has 6 references indexed in Scilit:
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