A new method for solving context ambiguities using field association knowledge

Abstract

In computational linguistics, word sense disambiguation is an open problem and is important in various aspects of natural language processing. However, the traditional methods using case frames and semantic primitives are not effective for solving context ambiguities that require information beyond sentences. This paper presents a new method of solving context ambiguities using a field association scheme that can determine the specified fields by using field association (FA) terms. In order to solve context ambiguities, the formal disambiguation algorithm is calculating the weight of fields in that scope by controlling the scope for a set of variable number of sentences. The accuracy of disambiguating the context ambiguities is improved 65% by applying the proposed field association knowledge.