Abstract

We present a hybrid knowledge-based approach to multilingual word sense disambiguation using BabelNet. Our approach is based on a hybrid technique derived from the modified version of the Lesk algorithm and the Jiang & Conrath similarity measure. We present our system's runs for the word sense disambiguation subtask of the Multilingual Word Sense Disambiguation and Entity Linking task of SemEval 2015. Our system ranked 9th among the participating systems for English.

Highlights

  • We present a hybrid knowledge-based approach based on the Modified Lesk algorithm and the Jiang & Conrath similarity measure using BabelNet (Navigli and Ponzetto, 2012)

  • To enrich the glosses used by the Modified Lesk algorithm, the glosses provided by BabelNet from Wikipedia in the 3 subtask languages have been used to extend the initial glosses available in WordNet (Miller, 1990)

  • We have combined two algorithms for word sense disambiguation, Modified Lesk and an approach based on Jiang & Conrath similarity

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Summary

Introduction

The computational identification of the meaning of words in context is called Word Sense Disambiguation (WSD), known as Lexical Disambiguation. There have been a significant amount of research on WSD over the years with numerous different approaches being explored. Multilingual word sense disambiguation aims to disambiguate the target word in different languages. This, involves a different scenario compared to monolingual WSD in the sense that a single word in a language might have varying number of senses in other languages with significant differences in the semantics of some of the available senses. Approaches to word sense disambiguation may be: (1) knowledge-based which depends on some knowledge dictionary or lexicon (2) supervised machine learning techniques which train systems from labelled training sets and (3) unsupervised which. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 340–344, Denver, Colorado, June 4-5, 2015. c 2015 Association for Computational Linguistics

The Lesk Algorithm
The Hybrid WSD System
Experimental Setting
Results and Discussion
Conclusion

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