Adaptive Spoken Dialogue Systems
نویسنده
چکیده
Adaptive systems cover a broad range of interactive systems which adjust to new tasks, situations, users or expressions. These systems identify and classify relevant features to develop over time, adjusting their behaviour to different users and situations. The topic of this paper is adaptation in spoken dialogue systems based on features in the dialogue. These systems automatically extract dialogue features to make intelligible inferences about its user in order to adapt dynamically over time. The paper discusses the utility of adaptation in spoken dialogue system including user modelling, basic techniques for user modelling and evaluation of adaptive systems.
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تاریخ انتشار 2005