Power entity recognition based on bidirectional long short-term memory and conditional random fields

Power entity recognition based on bidirectional long short-term memory and conditional random fields

With the application of artificial intelligence technology in the power industry, the knowledge graph is expected to play a key role in power grid dispatch processes, intelligent maintenance, and customer service response provision. Knowledge graphs are usually constructed based on entity recognitio...

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Bibliographic Details
Main Authors:	Zhixiang Ji, Xiaohui Wang, Changyu Cai, Hongjian Sun
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2020-04-01
Series:	Global Energy Interconnection
Subjects:	Knowledge graph Entity recognition Conditional Random Fields (CRF) Bidirectional Long Short-Term Memory (BLSTM)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2096511720300529

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