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Related Questions
- How do out-of-vocabulary words affect the performance of BERT and RoBERTa in tasks such as sentiment analysis and named entity recognition?
- What are the consequences of encountering unknown words on the accuracy of BERT and RoBERTa in downstream applications?
- Can you explain the impact of out-of-vocabulary words on the contextual understanding of BERT and RoBERTa in tasks such as question answering and text classification?
- How do BERT and RoBERTa handle out-of-vocabulary words in terms of word embeddings and contextual representation?
- What are the implications of out-of-vocabulary words on the interpretability of BERT and RoBERTa's predictions in downstream tasks?
- Can you discuss the strategies for handling out-of-vocabulary words in BERT and RoBERTa, such as subword modeling and character-level embeddings?
- How do the performance differences between BERT and RoBERTa in handling out-of-vocabulary words affect their suitability for specific downstream tasks?
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