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Related Questions
- How does BERT's WordPiece tokenizer handle out-of-vocabulary words?
- What are the limitations of subword modeling in RoBERTa compared to word-level modeling?
- Can you explain how character-level modeling can help improve out-of-vocabulary word handling in transformer models?
- What are some techniques for using subword models like BERT's WordPiece for handling out-of-vocabulary words?
- How does character-level modeling compare to subword modeling in terms of model performance and computational requirements?
- What are some potential applications of out-of-vocabulary word handling improvements in BERT and RoBERTa, such as in low-resource languages?
- Can you discuss the relationship between word embeddings and out-of-vocabulary word handling in BERT and RoBERTa?
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