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Related Questions
- What are the primary factors that influence annotation quality in mitigating data bias?
- How does the trade-off between annotation quality and annotation efficiency impact the overall performance of a machine learning model?
- Can you explain the concept of 'good enough' annotation and its implications for data bias mitigation?
- What are some strategies for optimizing annotation efficiency while maintaining high annotation quality?
- How does the type of annotation task (e.g. classification, regression) affect the trade-off between annotation quality and efficiency?
- Can you discuss the role of active learning in balancing annotation quality and efficiency?
- What are the potential consequences of prioritizing annotation efficiency over annotation quality in data bias mitigation?
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