Computer Science > Computation and Language
arXiv:2204.02549 (cs)
[Submitted on 6 Apr 2022]
Title:C3KG: A Chinese Commonsense Conversation Knowledge Graph
View a PDF of the paper titled C3KG: A Chinese Commonsense Conversation Knowledge Graph, by Dawei Li and Yanran Li and Jiayi Zhang and Ke Li and Chen Wei and Jianwei Cui and Bin Wang
View PDFAbstract:Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps. To fill the gap, we curate a large-scale multi-turn human-written conversation corpus, and create the first Chinese commonsense conversation knowledge graph which incorporates both social commonsense knowledge and dialog flow information. To show the potential of our graph, we develop a graph-conversation matching approach, and benchmark two graph-grounded conversational tasks.
Comments: | Accepted by ACL 2022 Findings. Our code and data could be found inthis https URL |
Subjects: | Computation and Language (cs.CL) |
Cite as: | arXiv:2204.02549 [cs.CL] |
(orarXiv:2204.02549v1 [cs.CL] for this version) | |
https://doi.org/10.48550/arXiv.2204.02549 arXiv-issued DOI via DataCite |
Full-text links:
Access Paper:
- View PDF
- TeX Source
- Other Formats
View a PDF of the paper titled C3KG: A Chinese Commonsense Conversation Knowledge Graph, by Dawei Li and Yanran Li and Jiayi Zhang and Ke Li and Chen Wei and Jianwei Cui and Bin Wang
References & Citations
Bibliographic and Citation Tools
Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
Litmaps(What is Litmaps?)
scite Smart Citations(What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv(What is alphaXiv?)
CatalyzeX Code Finder for Papers(What is CatalyzeX?)
DagsHub(What is DagsHub?)
Gotit.pub(What is GotitPub?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)
ScienceCast(What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.