KCDC: Word Sense Induction by Using Grammatical Dependencies and Sentence Phrase Structure
Roman Kern, Markus Muhr, Michael Granitzer · Meeting of the Association for Computational Linguistics · 2010
Word sense induction and discrimination (WSID) identifies the senses of an ambiguous word and assigns instances of this word to one of these senses. We have build a WSID system that exploits syntactic and semantic features based on the results of a natural language parser component. To achieve high robustness and good generalization capabilities, we designed our system to work on a restricted, but grammatically rich set of features. Based on the results of the evaluations our system provides a promising performance and robustness.