Abstract
For natural computer conversation, if a computer has typical responses, and thechangeable parts of sentences can be changed by association, more flexible and morevarious conversations can be done.However, there is a risk that the generation ofresponse sentences by a computer results in a combinations of feeling of wrongnesscaused by the mechanical combination of words.This paper focused on a relationof nouns and adjective phrases.Then the knowledge structure of how to use nounsand adjective phrases is modeled by arranging the relation in a point of feeling ofwrongness.Also, this paper proposes a technique for detection relation of nounsand adjective phrases by creating a knowledge model from generation of responsesentences.Using the method described in this report, we showed that this techniquewas able to very accurately judge usages of nouns and adjective phrases with 87%accuracy, thus demonstrating the effectiveness of the technique.
