UNT-Yahoo
Rada F. Mihalcea, Andras Csomai, Massimiliano Ciaramita · 2007
We describe the SuperSenseLearner system that participated in the English all-words disambiguation task. The system relies on automatically-learned semantic models using collocational features coupled with features extracted from the annotations of coarse-grained semantic categories generated by an HMM tagger.