Data Augmentation Methods for Enhancing Robustness in Text Classification Tasks

Data Augmentation Methods for Enhancing Robustness in Text Classification Tasks

Text classification is widely studied in natural language processing (NLP). Deep learning models, including large pre-trained models like BERT and DistilBERT, have achieved impressive results in text classification tasks. However, these models’ robustness against adversarial attacks remains an area...

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Bibliographic Details
Main Authors: Huidong Tang, Sayaka Kamei, Yasuhiko Morimoto
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Algorithms
Subjects:
artificial intelligence
natural language processing
text classification
data augmentation
robustness improvement
Online Access:https://www.mdpi.com/1999-4893/16/1/59

Internet

https://www.mdpi.com/1999-4893/16/1/59

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