Cooperative user models in statistical dialog simulators

Authors:
Meritxell González;Silvia Quarteroni;Giuseppe Riccardi;Sebastian Varges
Affiliations:
University of Trento, Povo (Trento), Italy and Technical University of Catalonia, Barcelona, Spain;University of Trento, Povo (Trento), Italy;University of Trento, Povo (Trento), Italy;University of Trento, Povo (Trento), Italy
Venue:
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Year:
2010

Citing 3
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Abstract

Statistical user simulation is a promising methodology to train and evaluate the performance of (spoken) dialog systems. We work with a modular architecture for data-driven simulation where the "intentional" component of user simulation includes a User Model representing user-specific features. We train a dialog simulator that combines traits of human behavior such as cooperativeness and context with domain-related aspects via the Expectation-Maximization algorithm. We show that cooperativeness provides a finer representation of the dialog context which directly affects task completion rate.