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Related Questions
- What strategies can annotators use to minimize bias when labeling negative examples with uncertain context?
- How do annotators balance the trade-off between accuracy and potential bias in uncertain contexts?
- What are some common pitfalls that annotators may encounter when labeling negative examples with uncertain context, and how can they be avoided?
- Can you explain the importance of annotator training in reducing bias when labeling negative examples with uncertain context?
- What role does active learning play in reducing bias when labeling negative examples with uncertain context?
- How can annotators use uncertainty estimation to improve the accuracy of their labels and reduce bias?
- What are some best practices for annotators to follow when labeling negative examples with uncertain context to ensure accuracy and minimize bias?
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