Abstract
Though we receive a word with ambiguous information, we humans can interpret it properly, so we can hold a conversation, and take proper actions. This is possible because we have “common sense” concerning the word, which comes from knowledge accumulated from long time experiences. In order to realize an intelligent computer which can talk with human beings, we think that a construction of the system which understands word meaning is necessary. An association mechanism, which associates one word (concept) with other similar concepts, is indispensable to this construction. This paper describes a method of measuring the degree of association, which evaluates the relevance between concepts based on the Concept-Base, which defines the meaning of words. There is a problem in the conventional method, which evaluates the relevance between concepts using the degree of overlapping of the attribute sets in the Concept-Base. This paper aims to solve the problem of this conventional method and proposes a method of measuring the degree of association using the coincidence information between concepts.
