Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Xianpei Han
Zhichun Wang
Jiangtao Zhang
Qinghua Wen
Wenqi Li
Buzhou Tang
Qi Wang
Zhifan Feng
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

Abstract
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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