KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu


Abstract
The research of knowledge-driven conversational systems is largely limited due to the lack of dialog data which consists of multi-turn conversations on multiple topics and with knowledge annotations. In this paper, we propose a Chinese multi-domain knowledge-driven conversation dataset, KdConv, which grounds the topics in multi-turn conversations to knowledge graphs. Our corpus contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics. To facilitate the following research on this corpus, we provide several benchmark models. Comparative results show that the models can be enhanced by introducing background knowledge, yet there is still a large space for leveraging knowledge to model multi-turn conversations for further research. Results also show that there are obvious performance differences between different domains, indicating that it is worth further explore transfer learning and domain adaptation. The corpus and benchmark models are publicly available.
Anthology ID:
2020.acl-main.635
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2020
Address:
Online
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
7098–7108
Language:
URL:
https://aclanthology.org/2020.acl-main.635
DOI:
10.18653/v1/2020.acl-main.635
Bibkey:
Cite (ACL):
Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, and Xiaoyan Zhu. 2020. KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7098–7108, Online. Association for Computational Linguistics.
Cite (Informal):
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation (Zhou et al., ACL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.acl-main.635.pdf
Video:
 http://slideslive.com/38928880
Code
 thu-coai/KdConv
Data
KdConvCMU DoGOpenDialKGWizard of Wikipedia