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Related Questions
- How does BERT's self-attention mechanism address the issue of long-range dependencies in text summarization tasks?
- What are the key challenges in handling long-range dependencies for tasks like text summarization, and how does BERT's self-attention mechanism overcome them?
- Can you explain the impact of BERT's self-attention mechanism on the performance of text summarization models, particularly in terms of capturing long-range dependencies?
- How does BERT's self-attention mechanism compare to other attention mechanisms in handling long-range dependencies for text summarization tasks?
- What are the computational costs associated with BERT's self-attention mechanism, and how do they affect the performance of text summarization models?
- Can you discuss the relationship between BERT's self-attention mechanism and the concept of 'position embeddings' in text summarization tasks?
- How does BERT's self-attention mechanism handle out-of-vocabulary words and long-range dependencies in text summarization tasks?
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