Modelling, Detection and Exploitation of Lexical Functions for Analysis

Abstract : Lexical functions (LF) model relations between terms in the lexicon. These relations can be knowledge about the world (Napoleon was an emperor) or knowledge about the language (,destiny- is synonym of ,fate-). In this article, we show that LF instanciation in texts is useful both for semantic analysis (for example, resolution of lexical ambiguities or prepositional attachment and synthesis, i.e. natural language generation. We describe the architecture of a Semantic Lexical Base and the way how LFs are modeled, detected and used. More precisely, we show how each LF is modelled using thematic (conceptual vectors) and lexical (materialised relations between database objects) information and how we exploit the results in the base. We also describe how these functions allow the database to be explored continuously rather than in a discrete way.
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Article dans une revue
ECTI-CIT Transactions on Computer and Information Technology, ECTI, 2006, 2 (2), pp.97-108. 〈http://ecti.en.kku.ac.th/ejournal/index.php/ECTI-CIT〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00200272
Contributeur : Mathieu Lafourcade <>
Soumis le : jeudi 20 décembre 2007 - 16:04:36
Dernière modification le : jeudi 11 janvier 2018 - 06:26:53
Document(s) archivé(s) le : lundi 12 avril 2010 - 08:40:11

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  • HAL Id : lirmm-00200272, version 1

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Didier Schwab, Mathieu Lafourcade. Modelling, Detection and Exploitation of Lexical Functions for Analysis. ECTI-CIT Transactions on Computer and Information Technology, ECTI, 2006, 2 (2), pp.97-108. 〈http://ecti.en.kku.ac.th/ejournal/index.php/ECTI-CIT〉. 〈lirmm-00200272〉

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