Let’s Negotiate! A Survey of Negotiation Dialogue Systems

Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani Azad, Ingrid Zukerman, Reza Haf


Abstract
Negotiation is a crucial ability in human communication. Recently, there has been a resurgent research interest in negotiation dialogue systems, whose goal is to create intelligent agents that can assist people in resolving conflicts or reaching agreements. Although there have been many explorations into negotiation dialogue systems, a systematic review of this task has not been performed to date. We aim to fill this gap by investigating recent studies in the field of negotiation dialogue systems, and covering benchmarks, evaluations and methodologies within the literature. We also discuss potential future directions, including multi-modal, multi-party and cross-cultural negotiation scenarios. Our goal is to provide the community with a systematic overview of negotiation dialogue systems and to inspire future research.
Anthology ID:
2024.findings-eacl.136
Volume:
Findings of the Association for Computational Linguistics: EACL 2024
Month:
March
Year:
2024
Address:
St. Julian’s, Malta
Editors:
Yvette Graham, Matthew Purver
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2019–2031
Language:
URL:
https://aclanthology.org/2024.findings-eacl.136
DOI:
Bibkey:
Cite (ACL):
Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani Azad, Ingrid Zukerman, and Reza Haf. 2024. Let’s Negotiate! A Survey of Negotiation Dialogue Systems. In Findings of the Association for Computational Linguistics: EACL 2024, pages 2019–2031, St. Julian’s, Malta. Association for Computational Linguistics.
Cite (Informal):
Let’s Negotiate! A Survey of Negotiation Dialogue Systems (Zhan et al., Findings 2024)
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PDF:
https://preview.aclanthology.org/nschneid-patch-5/2024.findings-eacl.136.pdf