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Related Questions
- What are the most common methods of data augmentation used in natural language processing?
- Can you explain how data augmentation can improve model performance on out-of-distribution data?
- How does data augmentation impact the fairness of machine learning models, particularly for underrepresented groups?
- What are some potential drawbacks of relying on data augmentation to address underrepresentation in training data?
- Can you discuss the role of data augmentation in reducing the bias of language models towards dominant groups?
- How does data augmentation affect the generalizability of language models to unseen data, particularly for underrepresented groups?
- What techniques can be used to evaluate the effectiveness of data augmentation in improving model performance on underrepresented groups?
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