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Related Questions
- What is the impact of out-of-vocabulary words on BERT's performance?
- How can we fine-tune BERT to handle out-of-vocabulary words?
- What are some common techniques for addressing out-of-vocabulary words in language models like BERT?
- Can you explain the concept of subword tokenization and how it relates to out-of-vocabulary words in BERT?
- Are there any techniques for generating synthetic data to address out-of-vocabulary words in BERT?
- How does the use of character-level embeddings affect the handling of out-of-vocabulary words in BERT?
- What is the role of pre-training and fine-tuning in addressing out-of-vocabulary words in BERT?
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