Research on Named Entity Recognition in Chinese Resumes Based on ResNEZHA-BiLSTM-Attention-CRF Model-Reference-Cited by-同舟云学术

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Research on Named Entity Recognition in Chinese Resumes Based on ResNEZHA-BiLSTM-Attention-CRF Model

Published:2023-12-15 Issue: Volume:28 Page:267-270
ISSN:
Container-title:2023 IEEE 3rd International Conference on Social Sciences and Intelligence Management (SSIM)
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Author:

Wu Xiaoqin¹,Yu Conggen²,Zhang Chi³,Yu Zhiwei⁴

Affiliation:

1. School of Artificial Intelligence and Big Data, Hefei University,Wuwei,Anhui,China

2. School of Artificial Intelligence and Big Data, Hefei University,Mingguang,Anhui,China

3. School of Artificial Intelligence and Big Data, Hefei University,Woyang,Anhui,China

4. School of Artificial Intelligence and Big Data, Hefei University,Xinyang,Henan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468571/10468693/10469318.pdf?arnumber=10469318

Reference9 articles.

1. Research on Chinese Geographical Named Entity Recognition Based on CRF [D];Wenping;Dalian University of Technology,2010

2. Named Entity Recognition Method for Property Disputes Based on SVM-Bi LSTM-CRF Model [J];Xiaolei;Computer Systems & Applications,2019

3. Text Classification of Chinese Texts Using Maximum Entropy Model [J];Ronglu;Computer Research and Development,2005

4. Named Entity Recognition of Chinese Electronic Resumes Based on BERT [J];Chuantao;China Science and Technology Paper,2021

5. Named Entity Recognition Method for Resumes Based on RoBERTa and Multi-Head Attention [J];Yujie;Journal of Qingdao University (Natural Science Edition),2023

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