Document Detail


Understanding of medico-technical reports.
MedLine Citation:
PMID:  10648848     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Medical practice produces much in the form of written text. The under-usage of this medical text for research is largely due to difficulties in processing the information. The objective of the Aristotle project is to build an automatic data system that is capable of producing a semantic representation of the text in a canonical form. Understanding the text requires identifying objects mentioned in the text, their properties, and the links between them. The nature of the syntactic process allows the connection, step-by-step, of two lexical units. This connection is immediately controlled by the Interpreter, which assumes the semantic process and queries a knowledge base. The syntactic-semantic Interpreter processes one sentence at a time. The Assembler module links the meaning of the different sentences and structures into the output's shape.
Authors:
M Roux; V Ledoray
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  18     ISSN:  0933-3657     ISO Abbreviation:  Artif Intell Med     Publication Date:  2000 Feb 
Date Detail:
Created Date:  2000-04-18     Completed Date:  2000-04-18     Revised Date:  2000-12-18    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  149-72     Citation Subset:  IM    
Affiliation:
Laboratoire de Biomathématique, Faculté de Médecine, Université de la Méditerranée, 27 Bd. Jean Moulin, 1385, Marseille, France. mtcd@medecine.univ-mrs.fr
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Semantics
Writing*

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


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