BiLSTM for Resume Classification-Reference-Cited by-同舟云学术

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BiLSTM for Resume Classification

Published:2024-01-25 Issue: Volume:5 Page:000519-000524
ISSN:
Container-title:2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)
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Author:

Jalili Amirreza¹,Tabrizchi Hamed²,Razmara Jafar²,Mosavi Amir³

Affiliation:

1. College of Science University of Tehran,School of Mathematics, Statistics and Computer Science,Department of Computer Science,Tehran,Iran

2. University of Tabriz,Faculty of Mathematics, Statistics, and Computer Science,Department of Computer Science,Tabriz,Iran

3. Obuda University,John von Neumann Faculty of Informatics,Budapest,Hungary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10432771/10432744/10432836.pdf?arnumber=10432836

Reference20 articles.

1. Skills prediction based on multi-label resume classification using CNN with model predictions explanation

2. Industry classification with online resume big data: A design science approach

3. RésuMatcher: A personalized résumé-job matching system

4. Semi-supervised deep learning based named entity recognition model to parse education section of resumes

5. A Method for Resume Information Extraction Using BERT-BiLSTM-CRF

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