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Related Questions
- What are the common challenges faced by BERT in handling long-range dependencies in text?
- How does BERT's architecture impact its ability to capture long-range dependencies in text?
- What are some techniques used to address the limitations of BERT in handling long-range dependencies in text?
- Can you explain the concept of 'context window' in BERT and how it affects its ability to handle long-range dependencies?
- How does BERT's use of self-attention mechanism impact its ability to capture long-range dependencies in text?
- What are some potential solutions to improve BERT's ability to handle long-range dependencies in text?
- Can you discuss the relationship between BERT's performance and the length of the input text in terms of handling long-range dependencies?
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