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Related Questions
- How does BERT handle out-of-vocabulary words compared to other language models like RoBERTa?
- What are the key differences in out-of-vocabulary word handling between BERT and RoBERTa?
- Can you explain the strategies used by BERT and RoBERTa to handle out-of-vocabulary words?
- How do BERT and RoBERTa compare in terms of handling rare or unseen words during inference?
- What are the implications of BERT's and RoBERTa's out-of-vocabulary word handling on downstream NLP tasks?
- Are there any other language models that excel in out-of-vocabulary word handling, and how do they compare to BERT and RoBERTa?
- Can you provide examples or case studies that demonstrate the effectiveness of BERT and RoBERTa in handling out-of-vocabulary words in real-world applications?
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