Work

Research on Named Entity Recognition Technique for Researchers in Power domain Based on RoBERTa-CNN-BiLSTM-CRF

Year: 2025

Type: conference-paper

Source: International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

DOI: 10.1109/aemcse65292.2025.11042623

Authors: Jiaqi Zhang, Kesheng Zhao, Yuxi Liu, Hong Ouyang, Ping Meng, Jing Xiao, Yu Liu, Peng Yu, Tipeng Wang

Institutions: State Grid Corporation of China (China), State Grid Jiangsu Electric Power (China), North China Electric Power University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: State Grid Corporation of China

OpenAlex ID: W4411584525

FWCI:

Cites: 7

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Related to: 10