Spoken dialogue systems allow users to interact with computer-based applications such as
databases and expert systems by using natural spoken language. The origins of spoken …

The past decade has witnessed the emergence of a new breed of human-computer
interfaces that combines several human language technologies to enable humans to …

Users often fail to formulate their complex information needs in a single query. As a
consequence, they may need to scan multiple result pages or reformulate their queries …

We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal
Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is …

During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …

In this article, we give an overview of Natural Language Generation (NLG) from an applied
system-building perspective. The article includes a discussion of when NLG techniques …

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 early 1997, our group initiated a project to develop JUPITER, a conversational interface
that allows users to obtain worldwide weather forecast information over the telephone using …

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

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