Target-Guided Open-Domain Conversation Planning

Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui


Abstract
Prior studies addressing target-oriented conversational tasks lack a crucial notion that has been intensively studied in the context of goal-oriented artificial intelligence agents, namely, planning. In this study, we propose the task of Target-Guided Open-Domain Conversation Planning (TGCP) task to evaluate whether neural conversational agents have goal-oriented conversation planning abilities. Using the TGCP task, we investigate the conversation planning abilities of existing retrieval models and recent strong generative models. The experimental results reveal the challenges facing current technology.
Anthology ID:
2022.coling-1.55
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Editors:
Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
660–668
Language:
URL:
https://aclanthology.org/2022.coling-1.55
DOI:
Bibkey:
Cite (ACL):
Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, and Kentaro Inui. 2022. Target-Guided Open-Domain Conversation Planning. In Proceedings of the 29th International Conference on Computational Linguistics, pages 660–668, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Target-Guided Open-Domain Conversation Planning (Kishinami et al., COLING 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.coling-1.55.pdf
Code
 y-kishinami/tgcp
Data
ConceptNet