JU-SKNSB: extended WordNet based WSD on the English all-words task at SemEval-1

Authors:
Sudip Kumar Naskar;Sivaji Bandyopadhyay
Affiliations:
Jadavpur University, Kolkata, India;Jadavpur University, Kolkata, India
Venue:
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Year:
2007

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Abstract

This paper presents an Extended WordNet based word sense disambiguation system using a major modification to the Lesk algorithm. The algorithm tries to disambiguate nouns, verbs and adjectives. The algorithm relies on the POS-sense tagged synset glosses provided by the Extended WordNet. The basic unit of disambiguation of our algorithm is the entire sentence under consideration. It takes a global approach where all the words in the target sentence are simultaneously disambiguated. The context includes previous and next sentence. The system assigns the default WordNet first sense to a word when the algorithm fails to predict the sense of the word. The system produces a precision and recall of .402 on the SemEval-2007 English All-Words test data.