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Related Questions
- What are some techniques to improve BERT's performance on long-range dependency tasks?
- How can we address the out-of-vocabulary word problem in BERT?
- What are some alternative models to BERT that can handle long-range dependencies better?
- Can we fine-tune BERT on a specific task to improve its performance on out-of-vocabulary words?
- How does the use of subword modeling in BERT impact its ability to handle out-of-vocabulary words?
- What are some strategies to increase the vocabulary size of BERT without significantly increasing its size?
- Can we use transfer learning to adapt BERT to a new domain where out-of-vocabulary words are more common?
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