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Related Questions
- What are some common techniques used to calculate feature importance in text summarization models?
- How do permutation importance and SHAP values differ in their approach to calculating feature importance?
- What are some challenges associated with interpreting feature importance in text summarization models with complex architectures?
- Can you explain the concept of feature interaction and how it affects the calculation of feature importance in text summarization models?
- How do techniques like LIME and Anchor Points address the challenge of calculating feature importance in text summarization models?
- What are some common pitfalls to avoid when calculating feature importance in text summarization models, such as overfitting or underfitting?
- Can you discuss the trade-off between model interpretability and model performance in text summarization models, and how it relates to feature importance calculation?
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