A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms

A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms

Due to the complexity and technicality of named entity recognition (NER) in the power grid field, existing methods are ineffective at identifying specialized terms in power grid operation record texts. Therefore, this paper proposes a Chinese power violation description entity recognition model base...

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Bibliographic Details
Main Authors: Lingwen Meng, Yulin Wang, Yuanjun Huang, Dingli Ma, Xinshan Zhu, Shumei Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
named entity recognition (NER)
attention mechanism
electric grid on-site operation violation description
word-character fusion
Online Access:https://www.mdpi.com/1996-1073/18/2/401
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