Illogical Adjective Phrase Detection for Computer Conversation

Authors:
Eriko Yoshimura;Seiji Tsuchiya;Hirokazu Watabe;Tsukasa Kawaoka
Affiliations:
Dept. of Intelligent Information Engineering & Sciences, Faculty of Science and Engineering, Doshisha University, Kyoto, Japan 610-0394;Dept. of Intelligent Information Engineering & Sciences, Faculty of Science and Engineering, Doshisha University, Kyoto, Japan 610-0394;Dept. of Intelligent Information Engineering & Sciences, Faculty of Science and Engineering, Doshisha University, Kyoto, Japan 610-0394;Dept. of Intelligent Information Engineering & Sciences, Faculty of Science and Engineering, Doshisha University, Kyoto, Japan 610-0394
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Year:
2009

Citing 2
Cited 0

ELIZA—a computer program for the study of natural language communication between man and machine

Communications of the ACM
A sensuous association method using an association mechanism for natural machine conversation

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose an illogical discourse judgment technique using a concept association system with the aim of enabling computer-generated logical discourse. 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.