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Related Questions
- What is the concept of word embeddings and how does it relate to BERT adaptability?
- How can we fine-tune BERT models on a new dataset to improve their performance on unseen words?
- What are some techniques for handling out-of-vocabulary (OOV) words in BERT models?
- Can you explain the concept of masked language modeling and its role in adapting BERT to unseen words?
- What is the difference between frozen and fine-tuned BERT models in terms of adaptability to unseen words?
- How can we use transfer learning to adapt pre-trained BERT models to new domains or tasks with unseen words?
- What are some strategies for augmenting BERT models to improve their robustness to unseen words and rare words?
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