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Deep Learning for Dialogue Systems
2017
Proceedings of ACL 2017, Tutorial Abstracts
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
doi:10.18653/v1/p17-5004
dblp:conf/acl/ChenCH17
fatcat:eyltpy5guna6bfsczav3vji7x4