A Joint Method of Entity Relation Extraction in the Field of Electric Power Public Opinion
Author:
Affiliation:
1. State Grid Jiangsu Electric Power Company Zhenjiang Power Supply Branch,Jiangsu,China,212002
2. State Grid Huitongjincai (Beijing) Information Technology CO., LTD,Beijing,China,100069
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10493201/10493208/10493752.pdf?arnumber=10493752
Reference19 articles.
1. A survey on the development status and application prospects of knowledge graph in smart grids
2. A Comprehensive Analysis of the Power Demand–Supply Situation, Electricity Usage Patterns, and the Recent Development of Renewable Energy in China
3. Research on Named Entity Recognition Method Based on Deep Learning in Electric Power Public Opinion Field
4. Joint extraction of entities and overlapping relations by improved graph convolutional networks
5. Power entity recognition based on bidirectional long short-term memory and conditional random fields
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