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Related Questions
- What are some common data augmentation techniques used in natural language processing to reduce bias?
- How can data augmentation be used to balance the class distribution in a dataset and mitigate negative sampling bias?
- Can you provide examples of data augmentation techniques that can be applied to text data to reduce bias?
- What is the relationship between data augmentation and negative sampling bias, and how can they be addressed together?
- How can data augmentation techniques be used to increase the diversity of the training data and reduce bias?
- What are some potential risks or limitations of using data augmentation techniques to mitigate negative sampling bias?
- Can you discuss the importance of evaluating the effectiveness of data augmentation techniques in reducing bias and improving model performance?
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