Chinese power dispatching text entity recognition based on a double-layer BiLSTM and multi-feature fusion
A large amount of unstructured data has been accumulated in the daily dispatching work of power systems as the form of text. In order to use these texts effectively, entities in the text need to be recognized, such as names of station and equipment. Because of the complex composition of the power di...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722005194 |