This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

Within the broad field of spoken dialogue systems, the application of machine-learning
approaches to dialogue management strategy design is a rapidly growing research area …

In this paper, we describe RavenClaw, a plan-based, task-independent dialog management
framework. RavenClaw isolates the domain-specific aspects of the dialog control logic from …

Spoken Dialogue Technology provides extensive coverage of spoken dialogue systems,
ranging from the theoretical underpinnings of the study of dialogue through to a detailed …

Scholars pay more and more attention to the spoken dialogue system after the emergence of
deep learning technology. The task-based dialogue system has become one of the most …

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

The past decade has seen a revolution in the field of spoken dialogue systems. As in other
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …

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 focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

We propose a method for learning dialogue management policies from a fixed data set. The
method addresses the challenges posed by Information State Update (ISU)-based dialogue …