Un Verbenet du français

Abstract : VerbNet is a lexical resource for English verbs that has proven useful for NLP thanks to its high lexical and syntactic coverage and its systematic coding of thematic roles. Such a resource doesn’t exist for French. This has motivated us to develop a Verbenet for French. We present how we have developed Verbenet from VerbNet while using as far as possible the available lexical resources for French, and how the various French alternations are coded, focusing on differences with English (existence of pronominal forms, for example). This paper should allow an NLP researcher to use Verbenet in a simple and efficient way for a task such as semantic role labeling.
Document type :
Journal articles
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal.inria.fr/hal-01392817
Contributor : Laurence Danlos <>
Submitted on : Friday, November 4, 2016 - 5:47:48 PM
Last modification on : Thursday, April 4, 2019 - 10:18:05 AM
Long-term archiving on : Sunday, February 5, 2017 - 2:35:13 PM

File

FinalTALVerbenet.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01392817, version 1

Citation

Laurence Danlos, Quentin Pradet, Lucie Barque, Takuya Nakamura, Mathieu Constant. Un Verbenet du français. Traitement Automatique des Langues, ATALA, 2016, 57 (1), pp.25. ⟨https://www.atala.org/-Revue-TAL-⟩. ⟨hal-01392817⟩

Share

Metrics

Record views

799

Files downloads

608