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
Export citation
@inproceedings{kishinami-etal-2022-target,
title = "Target-Guided Open-Domain Conversation Planning",
author = "Kishinami, Yosuke and
Akama, Reina and
Sato, Shiki and
Tokuhisa, Ryoko and
Suzuki, Jun and
Inui, Kentaro",
editor = "Calzolari, Nicoletta and
Huang, Chu-Ren and
Kim, Hansaem and
Pustejovsky, James and
Wanner, Leo and
Choi, Key-Sun and
Ryu, Pum-Mo and
Chen, Hsin-Hsi and
Donatelli, Lucia and
Ji, Heng and
Kurohashi, Sadao and
Paggio, Patrizia and
Xue, Nianwen and
Kim, Seokhwan and
Hahm, Younggyun and
He, Zhong and
Lee, Tony Kyungil and
Santus, Enrico and
Bond, Francis and
Na, Seung-Hoon",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.55",
pages = "660--668",
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.",
}
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%0 Conference Proceedings %T Target-Guided Open-Domain Conversation Planning %A Kishinami, Yosuke %A Akama, Reina %A Sato, Shiki %A Tokuhisa, Ryoko %A Suzuki, Jun %A Inui, Kentaro %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F kishinami-etal-2022-target %X 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. %U https://aclanthology.org/2022.coling-1.55 %P 660-668
Markdown (Informal)
[Target-Guided Open-Domain Conversation Planning](https://aclanthology.org/2022.coling-1.55) (Kishinami et al., COLING 2022)
- Target-Guided Open-Domain Conversation Planning (Kishinami et al., COLING 2022)
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.