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-toend solution that integrates feature identification, feature extraction, preprocessing and classification.

• Type: Conference
• Year: 2006
• Where: AAAI
• Authors: Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute
• Keywords: AAAI 2006, Feature Extraction, Intelligent Agents, Ngram Statistics Package, Target-Word Sense Disambiguation