Feeding Syntactic Versus Semantic Knowledge to a Knowledge-lean Unsupervised Word Sense Disambiguation Algorithm with an Underlying Naïve Bayes Model
Florentina Hristea, Mihaela Colhon · Fundamenta Informaticae · 2012
The present paper concentrates on the issue of feature selection for unsupervised word sense disambiguation (WSD) performed with an underlying Naïve Bayes model. It introduces dependency-based feature selection which, to our knowledge, is used for th