Lexical knowledge acquistion using spontaneous descriptions in texts

Abstract : This paper focuses on the extraction of lexical knowledge from text by exploiting the "glosses" of words, i.e. spontaneous descriptions identifiable by lexical markers and specific morpho-syntactic patterns. This information offers interesting knowledge in order to build dictionaries. In this study based on the RESENS project, we compare two methods to extract this linguistic information using local grammars and/or web-mining approaches. Experiments have been conducted on real data in French.
Type de document :
Communication dans un congrès
NLDB'2012: International conference on Applications of Natural Language Processing, Groningen, European Union. Springer Verlag, pp.366-371, 2012, LNCS. 〈http://www.nldb.org/〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723572
Contributeur : Mathieu Roche <>
Soumis le : vendredi 10 août 2012 - 20:41:39
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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  • HAL Id : lirmm-00723572, version 1

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Augusta Mela, Mathieu Roche, Mohamed El Amine Bekhtaoui. Lexical knowledge acquistion using spontaneous descriptions in texts. NLDB'2012: International conference on Applications of Natural Language Processing, Groningen, European Union. Springer Verlag, pp.366-371, 2012, LNCS. 〈http://www.nldb.org/〉. 〈lirmm-00723572〉

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