Adapting VerbNet to French using existing resources
International audience 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-autom...
Main Authors: | , , |
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Other Authors: | , , , , , , , , , , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2014
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Subjects: | |
Online Access: | https://inria.hal.science/hal-01084560 https://inria.hal.science/hal-01084560/document https://inria.hal.science/hal-01084560/file/VerbeNet_LREC_2014-final.pdf |
Summary: | International audience 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). |
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