By the same authors

Word Sense Induction Using Graphs of Collocations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Title of host publicationProceedings of the 2008 conference on ECAI 2008
DatePublished - 2008
Pages298-302
Number of pages4
PublisherIOS Press
Place of PublicationAmsterdam
Original languageEnglish
ISBN (Print)978-1-58603-891-5

Abstract

Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional graph-based approaches create and then cluster a graph, in which each vertex corresponds to a word that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated words. In contrast, in our approach each vertex corresponds to a collocation that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated collocations. A smoothing technique is applied to identify more edges between vertices and the resulting graph is then clustered. Our evaluation under the framework of SemEval-2007 WSI task shows the following: (a) our approach produces less sense-conflating clusters than those produced by traditional graph-based approaches, (b) our approach outperforms the existing state-of-the-art results.

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