您当前的位置:
首页 >
文章列表页 >
Fast recognition method of short text named entities considering feature sparsity
更新时间:2025-05-26
    • Fast recognition method of short text named entities considering feature sparsity

    • In the field of natural language processing, researchers have constructed the BR BiLSTM CRF model, which effectively improves the accuracy and efficiency of text named entity recognition.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 12, Pages: 3529-3535(2023)
    • 作者机构:

      1.华北理工大学 人工智能学院, 河北 唐山 063210

      2.华北理工大学 河北省工业智能感知重点实验室, 河北 唐山 063210

      3.北京科技大学 计算机与通信学院,北京 100083

      4.北京科技大学 材料领域知识工程北京市重点实验室, 北京 100083

    • DOI:10.13229/j.cnki.jdxbgxb.20221137    

      CLC: TP391.1
    • Received:12 October 2022

      Published:01 December 2023

    移动端阅览

  • MA Yue-kun,HAO Yi-feng.Fast recognition method of short text named entities considering feature sparsity[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(12):3529-3535. DOI: 10.13229/j.cnki.jdxbgxb.20221137.

  •  
  •  

0

Views

8

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

Event detection method as machine reading comprehension
Two-stage learning algorithm for biomedical named entity recognition
Dispute focus identification of pleading text based on deep neural network
Chinese anaphora resolution based on multi-pass sieve model
K-topic increment training algorithm based on LDA

Related Author

DING Kun
LIU Liu
LIU Ming
LIU Shan-shan
CHE Xiang-jiu
LIU Quan-le
PAN Ming-yang
XU Huan

Related Institution

The Sixty-Third Research Institute, National University of Defense Technology
School of Information Engineering, Suqian University
College of Computer Science and Technology, Jilin University
Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education , Jilin University
College of Software,Jilin University
0