Optimized Named Entity Recognition of Electric Power Field Based on Word-Struct BiGRU
2021 IEEE Sustainable Power and Energy Conference (iSPEC)（2021）
Abstract
In view of the characteristics of small corpus size, nested entities and abbreviated entities in electric field, this paper studied the methods of entity recognition in professional field, and proposed a method of entity recognition in electric field based on text vector feature enhancement. Firstly, by using low-intensity and preset word segmentation, the semantic information contained in Chinese...
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Key words
Training,Representation learning,Text recognition,Semantics,Metadata,Speech enhancement,Dispatching
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