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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 s ...

This talk will review the principal components of a spoken dialogue system and then discuss the opportunities for applying machine learning for building robust high performance open-domain systems. The talk will be illustrated by recent work at Cambridge University using machine learning for belief ...