论文信息 - An End-to-End Supervised Target-Word Sense Disambiguation System

An End-to-End Supervised Target-Word Sense Disambiguation System

We present an extensible supervised Target-Word Sense Disambiguation system that leverages upon GATE (General Architecture for Text Engineering), NSP (Ngram Statistics Package) and WEKA (Waikato Environment for Knowledge Analysis) to present an end-to-end solution that integrates feature identification, feature extraction, preprocessing and classification.

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