Deep Learning for Dialogue Systems

  • Yun-Nung Chen ,
  • Asli Celikyilmaz ,
  • Dilek Hakkani-Tur

Proceedings of ACL 2017 |

In the past decade, goal-oriented spoken
dialogue systems have been the most
prominent component in today’s virtual
personal assistants. The classic dialogue
systems have rather complex and/or modular
pipelines. The advance of deep learning
technologies has recently risen the applications
of neural models to dialogue
modeling. However, how to successfully
apply deep learning based approaches to
a dialogue system is still challenging.
Hence, this tutorial is designed to focus on
an overview of the dialogue system development
while describing most recent research
for building dialogue systems and
summarizing the challenges, in order to
allow researchers to study the potential
improvements of the state-of-the-art dialogue
systems. The tutorial material is
available at http://deepdialogue.
miulab.tw.