您当前的位置：
首页 >
文章列表页 >
Two-stage learning algorithm for biomedical named entity recognition
更新时间：2025-05-26

    • Two-stage learning algorithm for biomedical named entity recognition

    • “In the field of biomedical science, experts have proposed a two-stage learning framework to achieve Chinese biomedical named entity recognition under low resource conditions, providing a solution to the problem of high data annotation costs.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 8, Pages: 2380-2387(2023)
    • 作者机构：

      吉林大学 计算机科学与技术学院，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20211156    

      CLC： TP391.1

    • Received：04 November 2021，

      Published：01 August 2023

    移动端阅览

  • CHE Xiang-jiu,XU Huan,PAN Ming-yang,et al.Two-stage learning algorithm for biomedical named entity recognition[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(08):2380-2387. DOI： 10.13229/j.cnki.jdxbgxb.20211156.

  •  
  •  

0

Views

12

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Video saliency prediction with collective spatio-temporal attention
Surface defect detection algorithm of magnetic tiles based on multi⁃branch convolutional neural network
Crack identification method for bridge based on BCEM model
Detection algorithm for parking space status based on convolution network structural re⁃parameterization
Detecetion of lung nodule based on mask R-CNN and contextual convolutional neural network

Related Author

XUE Hao
QU Wei-dong
QIN Gui-he
SUN Ming-hui
JIN Yu-bo
DONG Jie
XIE Luo-feng
ZHU Yang-yang

Related Institution

Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education ， Jilin University
EXPERT Management Consulting Co.Ltd.
Key Laboratory of Optical Countermeasure Test and Evaluation Technology
School of Mechanical Engineering，Sichuan University
Chengdu Aeronautic Polytechnic
0