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Related Questions
- What are the key benefits of active learning in reducing variability in annotator judgments?
- How do active learning strategies, such as uncertainty sampling, help to reduce annotator variability?
- Can you explain the role of human evaluation in active learning and how it contributes to reducing variability?
- In what ways do active learning strategies, such as selective sampling, help to minimize annotator disagreement?
- How does the use of active learning strategies impact the overall quality of annotated data and reduce variability?
- What are some common challenges in implementing active learning strategies to reduce annotator variability, and how can they be overcome?
- Can you discuss the relationship between active learning and human annotator fatigue, and how it affects variability in judgments?
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