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Related Questions
- What strategies can annotators use to reduce personal biases when labeling data?
- How can annotators achieve consistency in labeling decisions across multiple annotators?
- What role does data quality play in minimizing bias in labeling decisions?
- Can you provide examples of bias-reducing techniques used in data labeling?
- How can annotators ensure that their labeling decisions align with project goals and requirements?
- What are the consequences of inconsistent labeling decisions on machine learning model performance?
- How can annotators use active learning strategies to mitigate bias in labeling decisions?
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