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Exploitation of linguistic indicators for automatic weighting of synonyms induced within three biomedical terminologies.

Authors :
Safran, C.
Reti, S.
Marin, H.F.
Grabar, Natalia
Hamon, Thierry
Source :
Studies in Health Technology & Informatics; 2010, Vol. 160, p1015-1019, 5p, 1 Diagram, 3 Charts, 2 Graphs
Publication Year :
2010

Abstract

Acquisition and enrichment of lexical resources is an important research area for the computational linguistics. We propose a method for inducing a lexicon of synonyms and for its weighting in order to establish its reliability. The method is based on the analysis of syntactic structure of complex terms. We apply and evaluate the approach on three biomedical terminologies (MeSH, Snomed Int, Snomed CT). Between 7.7 and 33.6% of the induced synonyms are ambiguous and cooccur with other semantic relations. A virtual reference allows to validate 9 to 14% of the induced synonyms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
160
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
52488109