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Lexical Knowledge Acquisition Using Spontaneous Descriptions in Texts

Augusta Mela 1 Mathieu Roche 2 Mohamed El Amine Bekhtaoui 3
1 UPVM - Université Paul-Valéry - Montpellier 3
2 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723572
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Submitted on : Friday, August 10, 2012 - 8:41:39 PM
Last modification on : Thursday, June 10, 2021 - 5:08:19 PM

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CNRS | TEXTE | LIRMM | MIPS | UNIV-MONTPELLIER | UNIV-MONTP3

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Augusta Mela, Mathieu Roche, Mohamed El Amine Bekhtaoui. Lexical Knowledge Acquisition Using Spontaneous Descriptions in Texts. NLDB: Natural Language Processing and Information Systems, Jun 2012, Groningen, Netherlands. pp.366-371, ⟨10.1007/978-3-642-31178-9_49⟩. ⟨lirmm-00723572⟩

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