Computing of related concepts in a context

Abstract

Word sense disambiguation is an opened issue in the text mining and natural language processing for some time. Automatic acquisition of all distinct senses for polysemy words is still a big problem in the computer science. This paper discusses an approach to generate related words for an input word in some context. The context is used for the filtering of the related words for their distinct sense subsets. This approach is based on the associative learning of concepts and can be a step forward to the word sense disambiguation problem solving.