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Related Questions
- What are the common pitfalls that human annotators face when identifying biased labels in training data?
- Can you describe the importance of contextual understanding in identifying biased labels?
- How do human annotators account for cultural and social nuances when annotating data to avoid biased labels?
- What are some strategies for reducing bias in labeling data, and how do annotators implement them?
- How do human annotators handle ambiguous or unclear data that may contain biased labels?
- Can you explain the role of active learning in identifying and mitigating biased labels in training data?
- What are some best practices for human annotators to ensure that their labels are unbiased and accurate?
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