Topic switch models for dialogue management in virtual humans

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Topic switch models for dialogue management in virtual humans

This paper presents a novel data-driven Topic Switch Model based on a cognitive representation of a limited set of topics that are currently in-focus, which determines what utterances are chosen next. The transition model was statistically learned from a large set of transcribed dyadic interactions....

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Bibliographic Details
Main Authors:	Zhu, Wenjue, Chowanda, Andry, Valstar, Michel F.
Format:	Conference or Workshop Item
Published:	2016
Subjects:	Social relationship Framework Game-agents Interactions
Online Access:	https://eprints.nottingham.ac.uk/35622/

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