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Related Questions
- Can we use transfer learning to adapt pre-trained language models to a new domain with limited vocabulary?
- How can we adapt BERT to a new domain where out-of-vocabulary words are more common?
- What techniques can be used to improve BERT's performance in domains with high out-of-vocabulary rates?
- Can fine-tuning BERT on a smaller dataset be effective in adapting it to a new domain?
- What are the challenges of adapting BERT to a new domain with a unique vocabulary?
- How can we leverage domain-specific knowledge to improve BERT's performance in a new domain?
- What are some common strategies for handling out-of-vocabulary words in language models like BERT?
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