Unsupervised Italian word sense disambiguation using WordNets and unlabeled corpora
Radu Florian, Richard Wicentowski · 2002
This paper presents a novel method for unsupervised word sense disambiguation, which combines multiple information sources, including semantic relations, large unlabeled corpora, and cross-lingual distributional statistics. This method extends and builds on the JHU system that participated in the SENSEVAL2 exercise. Experiments performed on the SENSEVAL2 Italian lexical-sample data show significant improvements over previously published results on this data set.