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Related Questions
- What are the limitations of BERT's out-of-vocabulary word handling, and how do they affect its performance on unseen text?
- How does BERT's subwordization technique enable it to handle out-of-vocabulary words, and what are its implications for generalization?
- What role do word embeddings play in BERT's out-of-vocabulary word handling, and how do they contribute to its ability to generalize?
- Can BERT's out-of-vocabulary word handling be improved through techniques such as knowledge distillation or few-shot learning?
- How does BERT's out-of-vocabulary word handling compare to other language models, such as RoBERTa or XLNet?
- What are the trade-offs between BERT's out-of-vocabulary word handling and its computational efficiency, and how do they impact its ability to generalize?
- Can BERT's out-of-vocabulary word handling be fine-tuned for specific tasks or domains, and what are the benefits and challenges of doing so?
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