A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework.

This article presents a comparison of different Word Sense Induction (WSI) clustering algorithms on two novel pseudoword data sets of semantic-similarity and co-occurrence-based word graphs, with a special focus on the detection of homonymic polysemy. We follow the original definition of a pseudowor...

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Publicado en:	Language Resources & Evaluation Vol. 52; no. 3; pp. 733 - 771
Autores principales:	Cecchini, Flavio Massimiliano, Fersini, Elisabetta, Riedl, Martin, Biemann, Chris
Formato:	Artículo
Publicado:	Springer Nature Sep2018
Materias:	Clustering of particles Natural language processing Graphic methods Semantic computing Polysemy
Acceso en línea:	Ver este registro en EBSCOhost