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Related Questions
- How do data augmentation techniques, such as back-translation and paraphrasing, affect the performance of BERT and RoBERTa on rare or unseen words?
- Can data augmentation techniques improve the ability of BERT and RoBERTa to generalize to rare or unseen words in downstream tasks?
- What is the impact of data augmentation techniques on the performance of BERT and RoBERTa on out-of-vocabulary (OOV) words?
- Do data augmentation techniques, such as noise injection and adversarial training, improve the robustness of BERT and RoBERTa to rare or unseen words?
- How do data augmentation techniques, such as synthetic data generation and data augmentation with generative models, affect the performance of BERT and RoBERTa on rare or unseen words?
- Can data augmentation techniques, such as transfer learning and multi-task learning, improve the performance of BERT and RoBERTa on rare or unseen words in low-resource languages?
- What is the relationship between the quality of data augmentation techniques and the performance of BERT and RoBERTa on rare or unseen words?
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