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Authors are conducting research aiming to develop new interfaces that follow the mechanism of human communication, particularly focusing on human common sense. In this paper, a method is proposed which processes any "subject" using knowledge base and an Association Mechanism. In proposed method, 27 attributes of "subject" were judged by knowledge base. Moreover, an unknown word processing is proposed which deals with actor words which were not registered in the knowledge base. The result of the proposed method gave the correct answer in 75% of cases. If the "not out-of-common-sense" answers were counted as part of the "correct answers", the correct-answer ratio rose to 96%. Therefore, if the proposed method and the existing method were combined, the correct-answer ratio was approximately 85%. [ABSTRACT FROM AUTHOR]

This paper proposes a technique for judging illogical word combinations by creating a knowledge model of human discourse and words. We focused on a relation of nouns and adjective phrases. Then the knowledge structure of how to use nouns and adjective phrases is modeled by arranging the relation in a point of wrongness. Also, this paper proposes a technique for detection relation of nouns and adjective phrases by creating a knowledge model from generation of response sentences. This paper discusses detecting method illogical combinations of words. We showed that this technique was able to very accurately judge illogical usages with 87% accuracy, thus demonstrating the effectiveness of the technique. [ABSTRACT FROM AUTHOR]