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.
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Yoshimura, E., Tsuchiya, S., Watabe, H., Kawaoka, T. (2009). Illogical Adjective Phrase Detection for Computer Conversation. In: Velásquez, J.D., RÃos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04595-0_25
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DOI: https://doi.org/10.1007/978-3-642-04595-0_25
Publisher Name: Springer, Berlin, Heidelberg
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