SenseLearner
Rada F. Mihalcea, Andras Csomai · 2005
This paper describes SENSELEARNER --- a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses. We evaluate the accuracy of SENSELEARNER on several standard sense-annotated data sets, and show that it compares favorably with the best results reported during the recent SENSEVAL evaluations.