Paper: Naive Bayes Word Sense Induction

ACL ID D13-1148
Title Naive Bayes Word Sense Induction
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

We introduce an extended naive Bayes model for word sense induction (WSI) and apply it to a WSI task. The extended model incorporates the idea the words closer to the target word are more relevant in predicting its sense. The pro- posed model is very simple yet effective when evaluated on SemEval-2010 WSI data.