Classifying French Verbs Using French and English Lexical Resources

Ingrid Falk 1 Claire Gardent 1 Jean-Charles Lamirel 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We present a novel approach to the automatic acquisition of a Verbnet like classification of French verbs which involves the use (i) of a neural clustering method which associates clusters with features, (ii) of several supervised and unsupervised evaluation metrics and (iii) of various existing syntactic and semantic lexical resources. We evaluate our approach on an established test set and show that it outperforms previous related work with an F-measure of 0.70.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [3 references]  Display  Hide  Download

https://hal.inria.fr/hal-00690484
Contributor : Ingrid Falk <>
Submitted on : Monday, August 27, 2012 - 4:03:26 PM
Last modification on : Tuesday, December 18, 2018 - 4:38:01 PM
Document(s) archivé(s) le : Wednesday, November 28, 2012 - 2:30:09 AM

Files

final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00690484, version 1

Collections

Citation

Ingrid Falk, Claire Gardent, Jean-Charles Lamirel. Classifying French Verbs Using French and English Lexical Resources. The 50th annual meeting of the Association for Computational Linguistics - ACL'12, The Association for Computational Linguistics (ACL), Jul 2012, Jeju, South Korea. pp.854--863. ⟨hal-00690484⟩

Share

Metrics

Record views

228

Files downloads

410