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Adapting VerbNet to French using existing resources

Abstract : VerbNet is an English lexical resource for verbs that has proven useful for English NLP due to its high coverage and coherent classification. Such a resource doesn’t exist for other languages, despite some (mostly automatic and unsupervised) attempts. We show how to semi-automatically adapt VerbNet using existing resources designed for different purposes. This study focuses on French and uses two French resources: a semantic lexicon (Les Verbes Français) and a syntactic lexicon (Lexique-Grammaire).
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Submitted on : Wednesday, November 19, 2014 - 3:12:35 PM
Last modification on : Wednesday, November 2, 2022 - 11:27:58 AM
Long-term archiving on: : Friday, February 20, 2015 - 10:57:54 AM


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  • HAL Id : hal-01084560, version 1



Quentin Pradet, Laurence Danlos, Gaël de Chalendar. Adapting VerbNet to French using existing resources. LREC'14 - Ninth International Conference on Language Resources and Evaluation, May 2014, Reykjavík, Iceland. ⟨hal-01084560⟩



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