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Related Questions
- What are the primary challenges of capturing long-range dependencies in BERT?
- How do BERT's limitations on long-range dependencies affect its performance on tasks like question answering?
- Can you explain the relationship between BERT's architecture and its ability to handle long-range dependencies?
- What are some alternative architectures that can better capture long-range dependencies in NLP tasks?
- How do the limitations of BERT on long-range dependencies impact its performance on specific question answering datasets?
- What are some potential solutions to address BERT's limitations on long-range dependencies?
- Can you discuss the trade-offs between BERT's performance on long-range dependencies and its computational efficiency?
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