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International Workshop on Databases in Networked Information Systems

DNIS 2013: Databases in Networked Information Systems pp 230–245Cite as

Conversation Quantization as a Foundation of Conversational Intelligence

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7813))

Abstract

The long term goal of this research is to build artificial conversational intelligence that can set up or participate in the fluent conversational interactions as good as people in order to benefit each other. This paper discusses conversation quanta as a foundation of conversational intelligence. In contrast to conversational systems for which much emphasis has been placed on the symbolic processing and algorithms, our approach is data-intensive, allowing for the conversational system to acquire the depth and proficiency in interaction in an incremental fashion, in addition to the broad coverage and robustness.

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Author information

Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, 606-6501, Japan

    Toyoaki Nishida

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  1. Toyoaki Nishida
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Editors and Affiliations

  1. Graduate Department of Computer and Information Systems, University of Aizu, Ikki Machi, 965-8580, Aizu-Wakamatsu, Fukushima, Japan

    Aastha Madaan , Shinji Kikuchi  & Subhash Bhalla ,  & 

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Nishida, T. (2013). Conversation Quantization as a Foundation of Conversational Intelligence. In: Madaan, A., Kikuchi, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2013. Lecture Notes in Computer Science, vol 7813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37134-9_18

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  • DOI: https://doi.org/10.1007/978-3-642-37134-9_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37133-2

  • Online ISBN: 978-3-642-37134-9

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