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Related Questions
- What are the consequences of BERT's self-attention mechanism on handling long-range dependencies for tasks like text summarization?
- How do BERT's limitations on long-range dependencies impact its performance on downstream NLP tasks such as question answering?
- What techniques can be used to mitigate the effects of BERT's limitations on long-range dependencies for tasks like sentiment analysis?
- Can transformer-based models like BERT handle long-range dependencies better than recurrent neural networks for tasks like machine translation?
- What are the implications of BERT's limitations on long-range dependencies for tasks that require understanding of nuanced context and relationships?
- How do BERT's limitations on long-range dependencies affect its ability to capture long-distance semantic dependencies in text data?
- What are some potential solutions to address BERT's limitations on long-range dependencies for downstream NLP tasks like text classification?
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