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Related Questions
- How do annotators resolve conflicting definitions of negativity in ambiguous cases?
- What strategies can annotators use to handle uncertainty when labeling negative examples with multiple possible interpretations?
- Can annotators use heuristics to determine the context-dependent meaning of negative examples?
- How do annotators balance the need for accuracy with the risk of introducing bias when labeling negative examples with uncertain context?
- What techniques can annotators use to identify and mitigate the impact of annotator variability in labeling negative examples?
- Can annotators use active learning strategies to improve the quality of negative example labels when faced with uncertain or ambiguous cases?
- How do annotators handle the issue of annotator fatigue when dealing with large datasets containing numerous ambiguous or uncertain negative examples?
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