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Article Dans Une Revue Language Resources and Evaluation Année : 2013

Semi-automatic enrichment of crowdsourced synonymy networks: the WISIGOTH system applied to Wiktionary

Franck Sajous
Bruno Gaume
Laurent Prévot

Résumé

Semantic lexical resources are a mainstay of various Natural Language Processing applications. However, comprehensive and reliable resources are rare and not often freely available. Handcrafted resources are too costly for being a general solution while automatically-built resources need to be validated by experts or at least thoroughly evaluated. We propose in this paper a picture of the current situation with regard to lexical resources, their building and their evaluation. We give an in-depth description of Wiktionary, a freely available and collaboratively built multilingual dictionary. Wiktionary is presented here as a promising raw resource for NLP. We propose a semi-automatic approach based on random walks for enriching Wiktionary synonymy network that uses both endogenous and exogenous data. We take advantage of the wiki infrastructure to propose a validation "by crowds". Finally, we present an implementation called WISIGOTH, which supports our approach.
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Dates et versions

hal-00709734 , version 1 (01-06-2016)

Identifiants

Citer

Franck Sajous, Emmanuel Navarro, Bruno Gaume, Laurent Prévot, Yannick Chudy. Semi-automatic enrichment of crowdsourced synonymy networks: the WISIGOTH system applied to Wiktionary. Language Resources and Evaluation, 2013, 47 (1), pp.63-96. ⟨10.1007/s10579-011-9168-6⟩. ⟨hal-00709734⟩
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