Predicting Lexical Relations between Biomedical Terms : towards a Multilingual Morphosemantics-based system - HAL-SHS - Sciences de l'Homme et de la Société Accéder directement au contenu
Communication Dans Un Congrès Année : 2005

Predicting Lexical Relations between Biomedical Terms : towards a Multilingual Morphosemantics-based system

Résumé

This paper addresses the issue of how semantic information can be automatically assigned to compound terms, i.e. both a definition and a set of semantic relations. This issue is particularly crucial when elaborating multilingual databases and when developing cross-language information retrieval systems. The paper shows how morpho-semantics can contribute in the constitution of multilingual lexical networks in biomedical corpora. It presents a system capable of labelling terms with morphologically related words, i.e. providing them with a definition, and grouping them according to synonymy, hyponymy and proximity relations. The approach requires the interaction of three techniques: (1) a language-specific morphosemantic parser, (2) a multiligual table defining basic relations between word roots, and (3) a set of language-independant rules to draw up the list of related terms. This approach has been fully implemented for French, on an about 29,000 terms biomedical lexicon, resulting to more than 3,000 lexical families
Fichier non déposé

Dates et versions

halshs-00157830 , version 1 (27-06-2007)

Identifiants

  • HAL Id : halshs-00157830 , version 1

Citer

Fiammetta Namer, Robert Baud. Predicting Lexical Relations between Biomedical Terms : towards a Multilingual Morphosemantics-based system. MIE 2005, Genève, Aug 2005, Geneva, Switzerland. pp.793-798. ⟨halshs-00157830⟩
40 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More