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 …

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 …

This book, first published in 1996, argues that language use is more than the sum of a
speaker speaking and a listener listening. It is the joint action that emerges when speakers …

While recent neural encoder-decoder models have shown great promise in modeling open-
domain conversations, they often generate dull and generic responses. Unlike past work …

For people to contribute to discourse, they must do more than utter the right sentence at the
right time. The basic requirement is that they add to their common ground in an orderly way …

When we think of the ways we use language, we think of face-to-face conversations,
telephone conversations, reading and writing, and even talking to oneself. These are arenas …

The book focuses on a conceptual flaw in contemporary artificial intelligence and cognitive
science. Many people have discovered diverse manifestations and facets of this flaw, but the …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

To participate in a dialogue a system must be capable of reasoning about its own previous
utterances. Follow-up questions must be interpreted in the context of the ongoing …

Patient care data will soon inform all areas of health care decision making and will define
clinical performance. Organized neurosurgery believes that prospective, systematic tracking …