Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
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.
Keywords
Cite
@article{arxiv.2003.03875,
title = {Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA},
author = {Xianpei Han and Zhichun Wang and Jiangtao Zhang and Qinghua Wen and Wenqi Li and Buzhou Tang and Qi Wang and Zhifan Feng and Yang Zhang and Yajuan Lu and Haitao Wang and Wenliang Chen and Hao Shao and Yubo Chen and Kang Liu and Jun Zhao and Taifeng Wang and Kezun Zhang and Meng Wang and Yinlin Jiang and Guilin Qi and Lei Zou and Sen Hu and Minhao Zhang and Yinnian Lin},
journal= {arXiv preprint arXiv:2003.03875},
year = {2020}
}
Comments
21 pages, in Chinese, 9 figures and 17 tables, CCKS 2019 held an evaluation track about knowledge graph with 6 tasks and attracted more than 1,600 teams