Method for WordNet Enrichment Using WSD

This paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First, a lexical knowledge word sense disambiguation process. Second, a set of rules to select the main concepts as representatives for each category. The method has been applied to label automatically WordNet synsets with Subject Codes from a standard news agencies classification system. Experimental results show than the proposed method achieves more than 95% accuracy selecting the main concepts for each category.

• Type: Conference
• Year: 2001
• Where: TSD
• Authors: Andrés Montoyo, Manuel Palomar, German Rigau
• Keywords: Classification System, General Domain Classification, Main Concepts, Signal Processing, TSD 2001