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Related Questions
- How do BERT and RoBERTa handle out-of-vocabulary words compared to other pre-trained language models?
- What is the impact of out-of-vocabulary words on the performance of BERT and RoBERTa in downstream tasks?
- Can BERT and RoBERTa be fine-tuned to handle out-of-vocabulary words, and if so, what are the challenges involved?
- How do the pre-training objectives of BERT and RoBERTa affect their ability to learn from out-of-vocabulary words?
- What are some potential solutions to improve the handling of out-of-vocabulary words in BERT and RoBERTa, such as subword modeling or character-level modeling?
- Do BERT and RoBERTa have any inherent biases towards certain words or topics that could affect their performance on out-of-vocabulary words?
- Can BERT and RoBERTa be used in low-resource languages where out-of-vocabulary words are more common, and if so, what are the challenges and limitations involved?
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