Document Detail

The power and limits of a rule-based morpho-semantic parser.
MedLine Citation:
PMID:  10566313     Owner:  NLM     Status:  MEDLINE    
The venue of Electronic Patient Record (EPR) implies an increasing amount of medical texts readily available for processing, as soon as convenient tools are made available. The chief application is text analysis, from which one can drive other disciplines like indexing for retrieval, knowledge representation, translation and inferencing for medical intelligent systems. Prerequisites for a convenient analyzer of medical texts are: building the lexicon, developing semantic representation of the domain, having a large corpus of texts available for statistical analysis, and finally mastering robust and powerful parsing techniques in order to satisfy the constraints of the medical domain. This article aims at presenting an easy-to-use parser ready to be adapted in different settings. It describes its power together with its practical limitations as experienced by the authors.
R H Baud; A M Rassinoux; P Ruch; C Lovis; J R Scherrer
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Proceedings / AMIA ... Annual Symposium. AMIA Symposium     Volume:  -     ISSN:  1531-605X     ISO Abbreviation:  Proc AMIA Symp     Publication Date:  1999  
Date Detail:
Created Date:  2000-02-01     Completed Date:  2000-02-01     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  100883449     Medline TA:  Proc AMIA Symp     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  22-6     Citation Subset:  IM    
Medical Informatics Division, University Hospital of Geneva, Switzerland.
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MeSH Terms
Medical Records Systems, Computerized / classification*
Terminology as Topic*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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