Combining Distributional Semantic Models and Sense Distribution for Effective Italian Word Sense Disambiguation

Abstract

English. Distributional semantics approaches have proven their ability to enhance the performance of overlap-based Word Sense Disambiguation algorithms. This paper shows the application of such a technique to the Italian language, by analysing the usage of two different Distributional Semantic Models built upon ItWaC and Wikipedia corpora, in conjunction… (More)

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Cite this paper

@inproceedings{Basile2014CombiningDS, title={Combining Distributional Semantic Models and Sense Distribution for Effective Italian Word Sense Disambiguation}, author={Pierpaolo Basile and Giovanni Semeraro and Aldo Moro}, year={2014} }