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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Bibliographische Detailangaben
Veröffentlicht in:Proceedings. AMIA Symposium. - 1998. - (1999) vom: 23., Seite 970-4
1. Verfasser: Taira, R K (VerfasserIn)
Weitere Verfasser: Soderland, S G
Format: Aufsatz
Sprache:English
Veröffentlicht: 1999
Zugriff auf das übergeordnete Werk:Proceedings. AMIA Symposium
Schlagworte:Journal Article
Beschreibung
Zusammenfassung: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
Beschreibung:Date Completed 01.02.2000
Date Revised 13.11.2018
published: Print
Citation Status MEDLINE
ISSN:1531-605X