Choosing the Word Most Typical in Context Using a Lexical Co-occurrence Network

Abstract

This paper presents a partial solution to a component of the problem of lexical choice: choosing the synonym most typical, or expected, in context. We apply a new statistical approach to representing the context of a word through lexical co-occurrence networks. The implementation was trained and evaluated on a large corpus, and results show that the inclusion of second-order co-occurrence relations improves the performance of our implemented lexical choice program.

3 pages, LaTeX2e, 1 ps figure, uses mathptm.sty, colacl.sty, psfig.sty