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Related Questions
- How does the attention mechanism allow the model to focus on specific parts of the input sequence when processing long-range dependencies?
- Can you explain how the attention mechanism helps to mitigate the vanishing gradient problem when dealing with long-range dependencies in text data?
- How does the attention mechanism impact the model's ability to capture contextual relationships between words that are far apart in the input sequence?
- In what ways does the attention mechanism enable the model to selectively weigh the importance of different input elements when processing long-range dependencies?
- Can you describe how the attention mechanism affects the model's ability to learn hierarchical representations of text data when dealing with long-range dependencies?
- How does the attention mechanism influence the model's ability to handle out-of-vocabulary words or unknown entities in the input sequence when processing long-range dependencies?
- What are some common challenges or limitations associated with using the attention mechanism to handle long-range dependencies in text data?
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