Eli Tzirkel

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We investigate the potential of statistical techniques for spoken dialogue systems in an automotive environment. Specifically, we focus on partially observable Markov decision processes (POMDPs), which have recently been proposed as a statistical framework for building dialogue managers (DMs). These statistical DMs have explicit models of uncertainty, which(More)
In recent years statistical dialogue systems have gained significant attention due to their potential to be more robust to speech recognition errors. However, these systems must also be robust to changes in user behaviour caused by cognitive loading. In this paper, a statistical dialogue system providing restaurant information is evaluated in a setup where(More)
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