UNT-Yahoo: SuperSenseLearner: combining SenseLearner with supersense and other coarse semantic features

Rada Mihalcea,Andras Csomai,Massimiliano Ciaramita

SemEval@ACL（2007）

引用 30|浏览21

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摘要

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.

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关键词

disambiguation task,supersenselearner system,automatically-learned semantic model,coarse-grained semantic category,coarse semantic feature,hmm tagger,english all-words,feature extraction

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