Statistical dialog systems (SDSs) are motivated by the need for a data-driven framework that
reduces the cost of laboriously handcrafting complex dialog managers and that provides …

In a spoken dialog system, dialog state tracking refers to the task of correctly inferring the
state of the conversation--such as the user's goal--given all of the dialog history up to that …

In a spoken dialog system, determining which action a machine should take in a given
situation is a difficult problem because automatic speech recognition is unreliable and …

One key technique people use in conversation and collaboration is conversational repair.
Self-repair is the recognition and attempted correction of one's own mistakes. We investigate …

A partially observable Markov decision process (POMDP) has been proposed as a dialog
model that enables automatic optimization of the dialog policy and provides robustness to …

Attracted by their easy-to-use interfaces and captivating benefits, conversational systems
have been widely embraced by many individuals and organizations as side-by-side digital …

Statistical methods have long been the dominant approach in speech recognition and
probabilistic modelling in ASR is now a mature technology. The use of statistical methods in …

A partially observable Markov decision process has been proposed as a dialogue model
that enables robustness to speech recognition errors and automatic policy optimisation …

Control in spoken dialog systems is challenging largely because automatic speech
recognition is unreliable, and hence the state of the conversation can never be known with …

This work shows how a spoken dialogue system can be represented as a Partially
Observable Markov Decision Process (POMDP) with composite observations consisting of …