A statistical natural language processor for medical reports

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 know...

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Détails bibliographiques
Publié dans:Proceedings. AMIA Symposium. - 1998. - (1999) vom: 23., Seite 970-4
Auteur principal: Taira, R K (Auteur)
Autres auteurs: Soderland, S G
Format: Article
Langue:English
Publié: 1999
Accès à la collection:Proceedings. AMIA Symposium
Sujets:Journal Article
Description
Résumé: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
Description:Date Completed 01.02.2000
Date Revised 13.11.2018
published: Print
Citation Status MEDLINE
ISSN:1531-605X