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Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA

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arxiv 2003.03875 v1 pith:IDVK65MP submitted 2020-03-09 cs.AI cs.CL

Xianpei Han , Zhichun Wang , Jiangtao Zhang , Qinghua Wen , Wenqi Li , Buzhou Tang , Qi Wang , Zhifan Feng
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Yang Zhang Yajuan Lu Haitao Wang Wenliang Chen Hao Shao Yubo Chen Kang Liu Jun Zhao Taifeng Wang Kezun Zhang Meng Wang Yinlin Jiang Guilin Qi Lei Zou Sen Hu Minhao Zhang Yinnian Lin
This is my paper · ORCID
classification cs.AIcs.CL
keywords knowledgegraphccksevaluationoverviewtasktaskstrack
verification ladder T0 review T1 audit T2 compute T3 formal

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Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation track with 6 tasks and attracted more than 1,600 teams. In this paper, we give an overview of the knowledge graph evaluation tract at CCKS 2019. By reviewing the task definition, successful methods, useful resources, good strategies and research challenges associated with each task in CCKS 2019, this paper can provide a helpful reference for developing knowledge graph applications and conducting future knowledge graph researches.

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