Performance Evaluation of Text Augmentation Methods with BERT on Small-sized, Imbalanced Datasets-Reference-Cited by-同舟云学术

Performance Evaluation of Text Augmentation Methods with BERT on Small-sized, Imbalanced Datasets

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI)
language:
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Author:

Hu Lingshu¹,Li Can²,Wang Wenbo²,Pang Bin²,Shang Yi²

Affiliation:

1. Washington and Lee University,Department of Business Administration,Lexington VA,USA

2. University of Missouri,Department of Electrical Engineering & Computer Science,Columbia,MO,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063337/10063364/10063469.pdf?arnumber=10063469

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5. The class imbalance problem: Significance and strategies;japkowicz;Proceedings of the 2000 International Conference on Artificial Intelligence,2000

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