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....
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2016
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Online Access: | http://eprints.nottingham.ac.uk/35622/ http://eprints.nottingham.ac.uk/35622/ http://eprints.nottingham.ac.uk/35622/1/topic-switch-models.pdf |