Research on Chinese Named Entity Recognition Based on Lexical Information and Spatial Features
In the field of Chinese-named entity recognition, recent research has sparked new interest by combining lexical features with character-based methods. Although this vocabulary enhancement method provides a new perspective, it faces two main challenges: firstly, using character-by-character matching...
Main Authors: | Zhipeng Zhang, Shengquan Liu, Zhaorui Jian, Huixin Yin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/6/2242 |
Similar Items
-
Medical Named Entity Recognition Fusing Part-of-Speech and Stroke Features
by: Fen Yi, et al.
Published: (2023-08-01) -
Multi-Feature Fusion Method for Chinese Pesticide Named Entity Recognition
by: Wenqing Ji, et al.
Published: (2023-03-01) -
Combined Self-Attention Mechanism for Chinese Named Entity Recognition in Military
by: Fei Liao, et al.
Published: (2019-08-01) -
Chinese named entity recognition with multi-network fusion of multi-scale lexical information
by: Yan Guo, et al.
Published: (2024-12-01) -
Named Entity Recognition for Addresses: An Empirical Study
by: Helena Ceovic, et al.
Published: (2022-01-01)