Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition

Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition

In recent years, knowledge graphs are applied to provide knowledge support and data support for power grid monitoring and decision-making. To construct a power metering knowledge graph, the power metering entities should be effectively recognized and extracted. However, the existing machine learning...

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Bibliographic Details
Main Authors: Kaihong Zheng, Jingfeng Yang, Lukun Zeng, Qihang Gong, Sheng Li, Shangli Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Power metering
entity recognition
neural network
pattern recognition
Online Access:https://ieeexplore.ieee.org/document/9536733/

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