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Conference Papers Year : 2014

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).

Domains

Linguistics
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Dates and versions

hal-01084560 , version 1 (19-11-2014)

Identifiers

  • HAL Id : hal-01084560 , version 1

Cite

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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