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Adapting VerbNet to French using existing resources

By Quentin Pradet, Laurence Danlos and Gaël De Chalendar

Abstract

International audienceVerbNet 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)

Topics: French Lexical Resources, [ SCCO.LING ] Cognitive science/Linguistics
Publisher: HAL CCSD
Year: 2014
OAI identifier: oai:HAL:hal-01084560v1
Provided by: Hal-Diderot

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