Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2023
Abstract
Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals from the system side. It is empowered by advanced techniques to progress to more complicated tasks that require strategical and motivational interactions. In this survey, we provide a comprehensive overview of the prominent problems and advanced designs for conversational agent's proactivity in different types of dialogues. Furthermore, we discuss challenges that meet the real-world application needs but require a greater research focus in the future. We hope that this first survey of proactive dialogue systems can provide the community with a quick access and an overall picture to this practical problem, and stimulate more progresses on conversational AI to the next level.
Keywords
Survey: Natural Language Processing
Discipline
Databases and Information Systems | Programming Languages and Compilers
Research Areas
Data Science and Engineering
Areas of Excellence
Digital transformation
Publication
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, Macao, 2023 August 19-25
First Page
6583
Last Page
6591
Identifier
10.24963/ijcai.2023/738
Publisher
IJCAI
City or Country
California
Citation
DENG, Yang; LEI, Wenqiang; LAM, Wai; and CHUA, Tat-Seng.
A survey on proactive dialogue systems: Problems, methods, and prospects. (2023). Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, Macao, 2023 August 19-25. 6583-6591.
Available at: https://ink.library.smu.edu.sg/sis_research/9123
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.24963/ijcai.2023/738