Automatic detection of illogical adjective phrase based on commonsense for computer conversation

Issue title: Intelligent Information Processing: Techniques and Applications

Guest editors: C.P. Limx and L.C. Jainy

Article type: Research Article

Authors: Yoshimura, Eriko^{a; *} | Imono, Misako^b | Tsuchiya, Seiji^a | Watabe, Hirokazu^a

Affiliations: [a] Department of Intelligent Information Engineering and Sciences, Faculty of Science and Engineering, Doshisha University, Kyo-Tanabe, Kyoto, Japan | [b] Department of Information and Computer Science, Graduate School of Engineering, Doshisha University, Kyo-Tanabe, Kyoto, Japan | [x] University of South Australia, Adelaide, South Australia, Australia | [y] University of Science, Malaysia

Correspondence: [*] Corresponding author. E-mail: eyoshimura@indy.doshisha.ac.jp

Abstract: 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.

Keywords: Illogical phrase, computer interface human factors, knowledge engineering, knowledge representation, natural languages

DOI: 10.3233/KES-2012-0227

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 16, no. 1, pp. 3-10, 2012