Bayesian Discriminant Analysis for Lexical Semantic Tagging
Résumé
Structuring of terminology automatically is interesting for information extraction or indexing. It remains to evaluate the results obtained. We use a clustering method to build term classes assuming that (even) an incomplete thesaurus could inform the user about the semantic interpretation of classes. A variant naive Bayesian analysis is used to model an association network between terms and categories. Conditional relations express a causal membership of a term to several categories. We show that a lexical tagging of terms classes, obtained from corpora processing, performs with a high degree of probability
Domaines
Informatique [cs]
Origine : Fichiers produits par l'(les) auteur(s)