State of the art versus classical clustering for unsupervised word sense disambiguation

Abstract

This paper ultimately discusses the importance of the clustering method used in unsupervised word sense disambiguation. It illustrates the fact that a powerful clustering technique can make up for lack of external knowledge of all types. It argues that feature selection does not always improve disambiguation results, especially when using an advanced, state… (More)
DOI: 10.1007/s10462-010-9193-7

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