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Related Questions
- What is the significance of wordpiece tokenization in BERT and RoBERTa?
- How do BERT and RoBERTa handle OOV words compared to ELMo and other language models?
- Can you explain the difference between the masking technique used in BERT and the subword tokenization used in other models?
- What is the impact of subword modeling on the representation of OOV words in language models?
- How do BERT and RoBERTa's self-supervised learning objectives address the OOV word problem?
- What is the effect of the increasing complexity of pre-trained language models on OOV word handling?
- Are there any other pre-trained language models that handle OOV words more effectively than BERT and RoBERTa?
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