CORPUS-BASED DIALOGUE SIMULATION FOR AUTOMATIC STRATEGY LEARNING AND EVALUATION
K.H. Scheffler and S.J. Young
This paper describes a method for simulating mixed initiative human-machine dialogues using data collected by a prototype dialogue system. The behaviour of the user population is modelled probabilistically using an explicit representation of user state. Recognition and understanding errors are also modelled. The simulation can be used for evaluation of competing strategies, as well as automatic learning of dialogue strategies.
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