On-line Learning of Wide-domain Spoken Dialogue Systems

author: Steve Young, Department of Engineering, University of Cambridge
published: July 31, 2016,   recorded: July 2016,   views: 1131
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Description

The first part of the talk reviews the general structure of limited domain statistical SDS and then explains how a collection of limited domain systems can be merged using the framework of Bayesian Committee Machines. The problem of reward estimation in on-line learning is then introduced and a solution based on the joint estimation of Gaussian Process based reward prediction and dialogue policy is presented.

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Download slides icon Download slides: interACT2016_young_spoken_dialogue_01.pdf (1.0┬áMB)


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