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Related Questions
- What are some techniques to improve BERT's performance on tasks with long-range dependencies, such as sentiment analysis?
- How can the use of attention mechanisms help mitigate BERT's limitations on long-range dependencies?
- What is the impact of increasing the size of the BERT model on its ability to capture long-range dependencies?
- Can the use of pre-training BERT on larger datasets help improve its performance on tasks with long-range dependencies?
- How does the application of techniques like graph-based methods or hierarchical attention help mitigate BERT's limitations on long-range dependencies?
- What role does the choice of pooling layer play in capturing long-range dependencies in BERT-based models?
- Can the use of BERT-based models with additional components, such as memory-augmented neural networks, help improve performance on tasks with long-range dependencies?
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