Neural Approaches to Conversational AI

Jianfeng Gao, Michel Galley, Lihong Li


Abstract
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 agents, (2) task-oriented dialogue agents, and (3) social bots. For each category, we present a review of state-of-the-art neural approaches, draw the connection between neural approaches and traditional symbolic approaches, and discuss the progress we have made and challenges we are facing, using specific systems and models as case studies.
Anthology ID:
P18-5002
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Yoav Artzi, Jacob Eisenstein
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2–7
Language:
URL:
https://aclanthology.org/P18-5002
DOI:
10.18653/v1/P18-5002
Bibkey:
Cite (ACL):
Jianfeng Gao, Michel Galley, and Lihong Li. 2018. Neural Approaches to Conversational AI. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, pages 2–7, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Neural Approaches to Conversational AI (Gao et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/P18-5002.pdf
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