An End-to-End Supervised Target-Word Sense Disambiguation System
Mahesh Joshi, Serguei Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute · 2006
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 Envi-ronment for Knowledge Analysis) to present an end-to-end solution that integrates feature identification, fea-ture extraction, preprocessing and classification.