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Related Questions
- What are some common pitfalls that annotators may encounter when labeling negative examples in context-dependent tasks?
- How can annotators use explicit definitions or guidelines to clarify the scope of negative examples in different contexts?
- What strategies can annotators employ to identify and mitigate biases in labeling negative examples across various contexts?
- Can you discuss the importance of consistency in labeling negative examples across different contexts and how annotators can achieve it?
- How can annotators use examples or illustrations to disambiguate negative examples in context-dependent tasks?
- What role does active learning play in reducing ambiguity in labeling negative examples across different contexts?
- How can annotators use feedback mechanisms to improve the accuracy of labeling negative examples in various contexts?
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