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» A Bayesian Approach for User Modeling in Dialogue Systems
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116
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ATAL
2008
Springer
15 years 5 months ago
The identification of users by relational agents
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore
128
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SIGDIAL
2010
15 years 1 months ago
Learning Dialogue Strategies from Older and Younger Simulated Users
Older adults are a challenging user group because their behaviour can be highly variable. To the best of our knowledge, this is the first study where dialogue strategies are learn...
Kallirroi Georgila, Maria Wolters, Johanna D. Moor...
138
Voted
ISMIS
1997
Springer
15 years 8 months ago
Automating Spoken Dialogue Systems
Abstract. Spoken dialogue interfaces apply in a number of applications. Engaging in meaningful conversation presupposes the ability to recognize and generate different conversatio...
Mona Singh, James Barnett, Munindar P. Singh
133
Voted
CSL
2010
Springer
15 years 3 months ago
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
Steve Young, Milica Gasic, Simon Keizer, Fran&cced...
130
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ACL
2000
15 years 5 months ago
Spoken Dialogue Management Using Probabilistic Reasoning
Spoken dialogue managers have benefited from using stochastic planners such as Markov Decision Processes (MDPs). However, so far, MDPs do not handle well noisy and ambiguous speec...
Nicholas Roy, Joelle Pineau, Sebastian Thrun