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Data Set and Evaluation of Automated Construction of Financial Knowledge Graph 被引量:3
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作者 Wenguang Wang Yonglin Xu +3 位作者 Chunhui Du Yunwen Chen Yijie Wang Hui Wen 《Data Intelligence》 2021年第3期418-443,共26页
With the technological development of entity extraction, relationship extraction, knowledge reasoning, and entity linking, the research on knowledge graph has been carried out in full swing in recent years. To better ... With the technological development of entity extraction, relationship extraction, knowledge reasoning, and entity linking, the research on knowledge graph has been carried out in full swing in recent years. To better promote the development of knowledge graph, especially in the Chinese language and in the financial industry, we built a high-quality data set, named financial research report knowledge graph(FR2 KG), and organized the automated construction of financial knowledge graph evaluation at the 2020 China Knowledge Graph and Semantic Computing Conference(CCKS2020). FR2 KG consists of 17,799 entities, 26,798 relationship triples, and 1,328 attribute triples covering 10 entity types, 19 relationship types, and 6 attributes. Participants are required to develop a constructor that will automatically construct a financial knowledge graph based on the FR2 KG. In addition, we summarized the technologies for automatically constructing knowledge graphs, and introduced the methods used by the winners and the results of this evaluation. 展开更多
关键词 Knowledge graph Entity extraction Relation extraction fr2kg data set CCKS
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