Word sense disambiguation with spreading activation networks generated from thesauri

Authors:
George Tsatsaronis;Michalis Vazirgiannis;Ion Androutsopoulos
Affiliations:
Department of Informatics, Athens University of Economics and Business, Greece;Department of Informatics, Athens University of Economics and Business, Greece and GEMO Team, INRIA, FUTURS, France;Department of Informatics, Athens University of Economics and Business, Greece
Venue:
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Year:
2007

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Abstract

Most word sense disambiguation (WSD) methods require large quantities of manually annotated training data and/or do not exploit fully the semantic relations of thesauri. We propose a new unsupervised WSD algorithm, which is based on generating Spreading Activation Networks (SANs) from the senses of a thesaurus and the relations between them. A new method of assigning weights to the networks' links is also proposed. Experiments show that the algorithm outperforms previous unsupervised approaches to WSD.