A Robust Chinese Named Entity Recognition Method Based on Integrating Dual-Layer Features and CSBERT

A Robust Chinese Named Entity Recognition Method Based on Integrating Dual-Layer Features and CSBERT

In the rapidly evolving field of cybersecurity, the integration of multi-source, heterogeneous, and fragmented data into a coherent knowledge graph has garnered considerable attention. Such a graph elucidates semantic interconnections, thereby facilitating sophisticated analytical decision support....

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Bibliographic Details
Main Authors: Yingjie Xu, Xiaobo Tan, Xin Tong, Wenbo Zhang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
cybersecurity knowledge graph
Chinese named entity recognition
CSBERT
few-shot data
cybersecurity dataset
Online Access:https://www.mdpi.com/2076-3417/14/3/1060

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