Word Sense Disambiguation with Semantic Networks

Authors:
George Tsatsaronis;Iraklis Varlamis;Michalis Vazirgiannis
Affiliations:
Department of Informatics, Athens University of Economics and Business, Athens, Greece;Department of Informatics, Athens University of Economics and Business, Athens, Greece;Department of Informatics, Athens University of Economics and Business, Athens, Greece
Venue:
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Year:
2008

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Abstract

Word sense disambiguation (WSD) methods evolve towards exploring all of the available semantic information that word thesauri provide. In this scope, the use of semantic graphs and new measures of semantic relatedness may offer better WSD solutions. In this paper we propose a new measure of semantic relatedness between any pair of terms for the English language, using WordNet as our knowledge base. Furthermore, we introduce a new WSD method based on the proposed measure. Experimental evaluation of the proposed method in benchmark data shows that our method matches or surpasses state of the art results. Moreover, we evaluate the proposed measure of semantic relatedness in pairs of terms ranked by human subjects. Results reveal that our measure of semantic relatedness produces a ranking that is more similar to the human generated one, compared to rankings generated by other related measures of semantic relatedness proposed in the past.