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Conversation Quantization

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Conversational Informatics

Abstract

Conversation quantization is a conceptual framework used for capturing and reusing shared meanings and expressions in a conversation. As a generic framework, it encompasses different implementations ranging in granularity, depth and breadth of annotation, representational fidelity, and generality. In this chapter, we discuss the scope and requirements of conversation quantization, the range of basic functions necessary for individual implementation, and the space of potential implementation. We also sketch out the idea of a portable conversation space for maximizing the potential of conversation quantization.

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Correspondence to Toyoaki Nishida .

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© 2014 Springer Japan

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Nishida, T., Nakazawa, A., Ohmoto, Y., Mohammad, Y. (2014). Conversation Quantization. In: Conversational Informatics. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55040-2_5

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  • DOI: https://doi.org/10.1007/978-4-431-55040-2_5

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-55039-6

  • Online ISBN: 978-4-431-55040-2

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