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Related Questions
- How do contextual models' attention mechanisms handle out-of-vocabulary words and their impact on idiomatic language capture?
- What are some common techniques for optimizing attention mechanisms in contextual models for better idiomatic language understanding?
- Can you explain the relationship between attention mechanism's weight initialization and the performance of contextual models in capturing idiomatic language?
- How do different attention mechanism architectures, such as self-attention and multi-head attention, influence the capture of idiomatic language?
- What is the effect of using pre-trained language models with attention mechanisms on the performance of downstream tasks involving idiomatic language?
- Can you discuss the trade-offs between attention mechanism's computational cost and its impact on idiomatic language capture in contextual models?
- What are some strategies for regularizing attention mechanisms to prevent overfitting and improve the generalization of contextual models to idiomatic language?
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