Multi-Meta Information Embedding Enhanced BERT for Chinese Mechanics Entity Recognition
The automatic extraction of key entities in mechanics problems is an important means to automatically solve mechanics problems. Nevertheless, for standard Chinese, compared with the open domain, mechanics problems have a large number of specialized terms and composite entities, which leads to a low...
Main Authors: | Jiarong Zhang, Jinsha Yuan, Jing Zhang, Zhihong Luo, Aitong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/20/11325 |
Similar Items
-
Medical Named Entity Recognition Fusing Part-of-Speech and Stroke Features
by: Fen Yi, et al.
Published: (2023-08-01) -
Named Entity Recognition for Addresses: An Empirical Study
by: Helena Ceovic, et al.
Published: (2022-01-01) -
An imConvNet-based deep learning model for Chinese medical named entity recognition
by: Yuchen Zheng, et al.
Published: (2022-11-01) -
Deep adaptation of CNN in Chinese named entity recognition
by: Yana Lv, et al.
Published: (2023-06-01) -
Chinese Named Entity Recognition of Geological News Based on BERT Model
by: Chao Huang, et al.
Published: (2022-07-01)