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Related Questions
- What strategies do annotators use to mitigate the impact of annotator fatigue in large-scale datasets?
- How do annotators handle the cognitive load of annotating numerous ambiguous or uncertain examples?
- Can annotators effectively manage the emotional toll of dealing with large datasets containing negative examples?
- What techniques do annotators use to maintain their focus and accuracy when faced with a high volume of uncertain or ambiguous examples?
- How do annotators prioritize their work when dealing with large datasets containing a mix of clear and ambiguous examples?
- What role does active learning play in reducing annotator fatigue when dealing with uncertain or ambiguous examples?
- Can annotators use data augmentation techniques to alleviate the burden of annotating large datasets with uncertain or ambiguous examples?
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