LiDA: Language-Independent Data Augmentation for Text Classification
Developing a high-performance text classification model in a low-resource language is challenging due to the lack of labeled data. Meanwhile, collecting large amounts of labeled data is cost-inefficient. One approach to increase the amount of labeled data is to create synthetic data using data augme...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10005171/ |