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Knowledge representation and reasoning for discourse understanding

  • Natural Language Processing
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Logic Programming '88 (LP 1988)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 383))

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Abstract

Extra-linguistic knowledge is necessary for discourse understanding. In this paper, we classify the knowledge, and present a framework to describe it using frames and rules. With this framework, it is easy to represent an IS-A hierarchy, which is based on a classification by different viewpoints, and to describe functions of objects as declarative knowledge. Furthermore, to treat ambiguities in discourse understanding and to process utterances based on assumptions, the system has a world mechanism for inference. Lastly, we report the evaluation of this framework through the knowledge representation of a VCR and the conversation experiment by the dialogue system.

This work is supported by ICOT (Institute for New Generation Computer Technology).

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Koichi Furukawa Hozumi Tanaka Tetsunosuke Fujisaki

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© 1989 Springer-Verlag Berlin Heidelberg

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Kinoshita, S., Sano, H., Ukita, T., Sumita, K., Amano, S. (1989). Knowledge representation and reasoning for discourse understanding. In: Furukawa, K., Tanaka, H., Fujisaki, T. (eds) Logic Programming '88. LP 1988. Lecture Notes in Computer Science, vol 383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51564-X_66

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  • DOI: https://doi.org/10.1007/3-540-51564-X_66

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51564-7

  • Online ISBN: 978-3-540-46654-3

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