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Related Questions
- What are some techniques to alleviate BERT's limitations on long-range dependencies for downstream NLP tasks like text classification?
- How can we modify the architecture of BERT to better handle long-range dependencies in text classification tasks?
- What are some alternative models to BERT that are designed to handle long-range dependencies more effectively for text classification?
- Can we fine-tune BERT on specific text classification tasks to improve its performance on long-range dependencies?
- What are some techniques to increase the contextual understanding of BERT for long-range dependencies in text classification?
- Can we use pre-training tasks that focus on long-range dependencies to improve BERT's performance on text classification tasks?
- What are some ways to incorporate external knowledge or memory to enhance BERT's ability to handle long-range dependencies in text classification?
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