Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …

Task-oriented dialogue is often decomposed into three tasks: understanding user input,
deciding actions, and generating a response. While such decomposition might suggest a …

Chatbots or Conversational agents are the next significant technological leap in the field of
conversational services, that is, enabling a device to communicate with a user upon …

Even though machine learning has become the major scene in dialogue research
community, the real breakthrough has been blocked by the scale of data available. To …

Language understanding research is held back by a failure to relate language to the
physical world it describes and to the social interactions it facilitates. Despite the incredible …

In open-domain dialogue intelligent agents should exhibit the use of knowledge, however
there are few convincing demonstrations of this to date. The most popular sequence to …

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 …

This book provides a comprehensive introduction to Conversational AI. While the idea of
interacting with a computer using voice or text goes back a long way, it is only in recent …

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in
several aspects. The language is human-written and less noisy. The dialogues in the …