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Related Questions
- Can BERT and RoBERTa be fine-tuned to handle out-of-vocabulary words more effectively?
- How can BERT and RoBERTa be adapted to better handle low-frequency words in a given dataset?
- Are there any techniques or methods that can be applied to BERT and RoBERTa to improve their performance on low-frequency words?
- Can BERT and RoBERTa be fine-tuned to handle rare or unseen words in a specific domain?
- What are the challenges of fine-tuning BERT and RoBERTa to handle low-frequency words, and how can they be addressed?
- Can BERT and RoBERTa be used in conjunction with other techniques, such as subwording or character-level models, to improve their handling of low-frequency words?
- Are there any publicly available pre-trained models or tools that have been fine-tuned to handle low-frequency words, and how can they be used?
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