2014 | OriginalPaper | Buchkapitel
SnS: A Novel Word Sense Induction Method
verfasst von : Marek Kozłowski, Henryk Rybiński
Erschienen in: Rough Sets and Intelligent Systems Paradigms
Verlag: Springer International Publishing
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The paper is devoted to the word sense induction problem. We propose a knowledge-poor method, called SenseSearcher (SnS), which induces senses of words from text corpora, based on closed frequent sets. The algorithm discovers a hierarchy of senses, rather than a flat list of concepts, so the results are easier to comprehend. We have evaluated the SnS quality by performing experiments for web search result clustering task with the datasets from SemEval-2013 Task 11.