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Related Questions
- How does data augmentation affect the quality of word embeddings in BERT and RoBERTa?
- Can data augmentation techniques compensate for the underrepresentation of low-frequency words in pre-trained language models?
- What are the potential trade-offs between data augmentation and overfitting in the context of BERT and RoBERTa?
- How does the choice of data augmentation technique impact the performance of BERT and RoBERTa on tasks involving low-frequency words?
- Can data augmentation techniques be used to improve the representation of out-of-vocabulary words in BERT and RoBERTa?
- What are the computational costs associated with applying data augmentation techniques to BERT and RoBERTa?
- How does the number of augmented samples affect the performance of BERT and RoBERTa on tasks involving low-frequency words?
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