Conceptual Vectors, a complementary tool to Lexical Networks

Didier Schwab 1 Lim Lian Tze 1 Mathieu Lafourcade 2
2 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : There is currently much research in natural language processing focusing on lexical networks. Most of them, in particular the most famous, Word- Net, lack syntagmatic information and especially thematic information (”Tennis Problem”). This article describes conceptual vectors that allows the representation of ideas in any textual segment and offers a continuous vision of related thematics, based on the distances between these thematics. We show the characteristics of conceptual vectors and explain how they complement lexico-semantic networks.We illustrate this purpose by adding conceptual vectors toWordNet by emergence.
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Communication dans un congrès
NLPCS'07: 4th International Workshop on Natural Language Processing and Cognitive Science, Jun 2007, pp.10, 2007
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00200892
Contributeur : Mathieu Lafourcade <>
Soumis le : vendredi 21 décembre 2007 - 17:41:20
Dernière modification le : jeudi 24 mai 2018 - 15:59:23
Document(s) archivé(s) le : mardi 13 avril 2010 - 15:07:28

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Didier Schwab, Lim Lian Tze, Mathieu Lafourcade. Conceptual Vectors, a complementary tool to Lexical Networks. NLPCS'07: 4th International Workshop on Natural Language Processing and Cognitive Science, Jun 2007, pp.10, 2007. 〈lirmm-00200892〉

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