A Chinese Word Segmentation Model for SCD Text in Smart Grid Station: An Attention-BiLSTM-CRF Approach-Reference-Cited by-同舟云学术

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A Chinese Word Segmentation Model for SCD Text in Smart Grid Station: An Attention-BiLSTM-CRF Approach

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
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Author:

Zheng Xiang¹,Chen Shaoyu¹,Wu Junfei¹,Ruan Lixiang²,Luo Zhaojun³,Xu Xiaojun³

Affiliation:

1. State Grid Zhejiang Electric Power Company, Quzhou Power Supply Company,Quzhou,China,324000

2. State Grid Zhejiang Electric Power Company, Hangzhou Power Supply Company,Hangzhou,China,310014

3. Guodian Nanjing Automation Co., Ltd.,Nanjing,China,210032

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294625.pdf?arnumber=10294625

Reference21 articles.

1. EMU: Effective Multi-Hot Encoding Net for Lightweight Scene Text Recognition With a Large Character Set

2. Electric power entity information recognition method based on deep learning;chen;Power System Technology,2021

3. Fully Distributed Economic Dispatch for Cyber-physical Power System with Time Delays and Channel Noises

4. DPWord2Vec: Better Representation of Design Patterns in Semantics

5. Chinese word segmentation based on BI-GRU-CRF model;che;Fire Power and Command Control,2019

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