An End-to-End Supervised Target-Word Sense Disambiguation System
نویسندگان
چکیده
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-toend solution that integrates feature identification, feature extraction, preprocessing and classification.
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تاریخ انتشار 2006