Approche évolutive des notions de base pour une représentation thématique des connaissances générales

Abstract : In the field of Natural Language Processing, in order to work out a thematic representation system of general knowledge, methods leaning on thesaurus are used since about fifteen years. A thesaurus consists of a set of concepts which define a generating system of a vector space modelling general knowledge. These concepts, often organized in an arborescent hierarchy, constitute a fundamental, but completely fixed tool. Even if the concepts evolve (we think for example of the technical fields), a thesaurus can evolve as for him only at the time of a particularly heavy process, because requiring the collaboration of human experts. After we detailed the characteristics which a generating system of the vector space of knowledge modelling must have, we define the "basic notions". Those, whose construction is based initially on the concepts of a thesaurus, constitute another generating system of this vector space. We approach the determination of the acceptions expressing the basic notions, which naturally leads us to ask the question of their number. Lastly, we clarify how, being freed from the concepts of the thesaurus, the basic notions evolve by an iterative process progressivel with the analysis of new texts.
Type de document :
Communication dans un congrès
TALN: Traitement Automatique des Langues Naturelles, Apr 2006, Louvain, Belgique. pp.512-521, 2006
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00112424
Contributeur : Martine Peridier <>
Soumis le : mercredi 8 novembre 2006 - 15:41:48
Dernière modification le : jeudi 11 janvier 2018 - 06:26:53
Document(s) archivé(s) le : mardi 6 avril 2010 - 21:54:10

Identifiants

  • HAL Id : lirmm-00112424, version 1

Collections

Citation

Alain Joubert, Mathieu Lafourcade, Didier Schwab. Approche évolutive des notions de base pour une représentation thématique des connaissances générales. TALN: Traitement Automatique des Langues Naturelles, Apr 2006, Louvain, Belgique. pp.512-521, 2006. 〈lirmm-00112424〉

Partager

Métriques

Consultations de la notice

120

Téléchargements de fichiers

209