Considerable progress has been made in recent years in the development of dialogue
systems that support robust and efficient human-machine interaction using spoken …

During recent years, conversational agents have become a solution to provide
straightforward and more natural ways of retrieving information in the digital domain. In this …

This paper proposes a domain-independent statistical methodology to develop dialog
managers for spoken dialog systems. Our methodology employs a data-driven classification …

This paper proposes a novel integrated dialog simulation technique for evaluating spoken
dialog systems. A data-driven user simulation technique for simulating user intention and …

This thesis focuses on the problem of scalable optimization of dialogue behaviour in speech-
based conversational systems using reinforcement learning. Most previous investigations in …

This paper proposes a statistical framework to develop user-adapted spoken dialog
systems. The proposed framework integrates two main models. The first model is used to …

We promote the theory of computational complexity on metric spaces: as natural common
generalization of (i) the classical discrete setting of integers, binary strings, graphs etc. as …

In this paper, we present a technique for developing user simulators which are able to
interact and evaluate conversational agents. Our technique is based on a statistical model …

This paper proposes a novel user intention simulation method which is data-driven but can
integrate diverse user discourse knowledge to simulate various types of user behaviors. A …

One of the core aspects in the development of conversational interfaces is to design the
dialog management strategy. The dialog management strategy defines the system's …