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Related Questions
- What is the difference between subword segmentation and wordpiece tokenization in pre-trained language models like BERT and RoBERTa?
- How does the use of subword segmentation in BERT and RoBERTa improve the model's ability to handle out-of-vocabulary words?
- Can you explain the benefits and drawbacks of using subword segmentation in pre-trained language models?
- How does the subword segmentation technique used in BERT and RoBERTa compare to other techniques such as wordpiece tokenization?
- What are some common out-of-vocabulary words that can be handled effectively by BERT and RoBERTa models with subword segmentation?
- Can you provide examples of how subword segmentation improves the performance of BERT and RoBERTa on tasks involving out-of-vocabulary words?
- What are some limitations of using subword segmentation in BERT and RoBERTa, and how can they be addressed?
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