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 |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/35622/ |