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Related Questions
- What strategies can be employed to reduce annotator bias in the labeling process?
- How can data quality checks be implemented to detect and mitigate annotator biases?
- What role can active learning and human-in-the-loop methods play in minimizing annotator biases?
- Can you explain the concept of 'gold standard' in labeling and how it can help reduce annotator biases?
- What are some best practices for training and educating annotators to minimize their biases?
- How can the labeling process be designed to incorporate diverse perspectives and reduce cultural biases?
- What metrics or evaluation methods can be used to assess the impact of annotator biases on the labeled data?
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