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arxiv logo>cs> arXiv:2204.02549
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Computer Science > Computation and Language

arXiv:2204.02549 (cs)
[Submitted on 6 Apr 2022]

Title:C3KG: A Chinese Commonsense Conversation Knowledge Graph

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Abstract: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

Submission history

From: Yanran Li [view email]
[v1] Wed, 6 Apr 2022 02:59:34 UTC (5,430 KB)
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