Use of word sense disambiguation in an information extraction system

Abstract

This paper describes a rule-based methodology for word sense disambiguation and an application of the methodology to information extraction using rules generalized with the help of the WordNet system. The methodology creates word sense disambiguation rules based on user trained examples working in the domain of interest. It achieves accuracy rates comparable to the best competing methods and can be easily integrated into higher level applications.