Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2023
Abstract
Conversational systems are envisioned to provide social support or functional service to human users via natural language interactions. Conventional conversation researches mainly focus on the responseability of the system, such as dialogue context understanding and response generation, but overlooks the design of an essential property in intelligent conversations, i.e., goal awareness. The awareness of goals means the state of not only being responsive to the users but also aware of the target conversational goal and capable of leading the conversation towards the goal, which is a significant step towards higher-level intelligence and artificial consciousness. It can not only largely improve user engagement and service efficiency in the conversation, but also empower the system to handle more complicated conversation tasks that involve strategical and motivational interactions. In this tutorial, we will introduce the recent advances on the design of agent’s awareness of goals in a wide range of conversational systems.
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems
Research Areas
Data Science and Engineering
Areas of Excellence
Digital transformation
Publication
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, 2023 July 9-14
First Page
1
Last Page
10
Identifier
10.18653/v1/2023.acl-tutorials.1
Publisher
Association for Computational Linguistics
City or Country
USA
Citation
DENG, Yang; LEI, Wenqiang; HUANG, Minlie; and CHUA, Tat-Seng.
Goal awareness for conversational AI: Proactivity, non-collaborativity, and beyond. (2023). Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, 2023 July 9-14. 1-10.
Available at: https://ink.library.smu.edu.sg/sis_research/9133
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/10.18653/v1/2023.acl-tutorials.1