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Extending wordnets by learning from multiple resources

Abstract : In this paper we present an automatic, language-independent approach to extend an existing wordnet by recycling existing freely available bilingual resources, such as machine-readable dictionaries and on-line encyclopaedias. The approach is applied to Slovene and French. The words extracted from the bilingual resources are assigned one or several synset ids based on a classifier that relies on several features, including distributional similarity. Automatic and manual evaluation shows that the resulting extensions of sloWNet and WOLF are lexico-semantic repositories of high coverage as well as high quality.
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Submitted on : Monday, January 2, 2012 - 2:21:27 PM
Last modification on : Tuesday, October 25, 2022 - 6:52:58 PM
Long-term archiving on: : Tuesday, April 3, 2012 - 2:26:02 AM


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  • HAL Id : hal-00655785, version 1


Benoît Sagot, Darja Fišer,. Extending wordnets by learning from multiple resources. LTC'11 : 5th Language and Technology Conference, Nov 2011, Poznań, Poland. ⟨hal-00655785⟩



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