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 …

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 …

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 …

In this paper, we survey the methods and concepts developed for the evaluation of dialogue
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …

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 …

Dialog state tracking (DST) is a core component in task-oriented dialog systems. Existing
approaches for DST mainly fall into one of two categories, namely, ontology-based and …

While there have been significant advances in detecting emotions from speech and image
recognition, emotion detection on text is still under-explored and remained as an active …

We wish to develop interactive agents that can communicate with humans to collaboratively
solve tasks in grounded scenarios. Since computer games allow us to simulate such tasks …

Existing dialogue corpora and models are typically designed under two disjoint motives:
while task-oriented systems focus on achieving functional goals (eg, booking hotels), open …

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This
edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct …