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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.
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Submitted on : Monday, August 27, 2012 - 4:03:26 PM
Last modification on : Saturday, October 16, 2021 - 11:26:06 AM
Long-term archiving on: : Wednesday, November 28, 2012 - 2:30:09 AM


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  • HAL Id : hal-00690484, version 1



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⟩



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