Analyse morphologique fine pour la recherche d'information biomédicale

Vincent Claveau 1 Ewa Kijak 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In the biomedical field, the key to access information is the use of specialized terms. However, in most of Indo-European languages, these terms are complex morphological struc- tures. The aim of the presented work is to identify the various meaningful components of these terms and use this analysis to improve biomedical information retrieval. We present an ap- proach combining an automatic alignment using a pivot language, and an analogical learning that allows an accurate morphological analysis of terms. These morphological analysis are used to improve the indexing of medical documents. The experiments reported in this paper show the validity of this approach through improvements in MAP of 10 % compared to a stan- dard IR system.
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Vincent Claveau, Ewa Kijak. Analyse morphologique fine pour la recherche d'information biomédicale. CORIA - COnférence sur la Recherche d'Information et Applications, Mar 2012, Bordeaux, France. ⟨hal-00760124⟩

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