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Related Questions
- How can data augmentation techniques be used to reduce annotator variability?
- What are some strategies to increase annotator consistency?
- Can you explain the concept of 'anchoring' in human annotation and how it can impact model generalizability?
- What is the role of active learning in mitigating the effects of annotator variability?
- Can you discuss the importance of annotator training and the impact of their background knowledge on model performance?
- How can hierarchical or multi-task learning help to reduce the effects of annotator variability?
- What are some methods for detecting and reducing annotator bias in labeling data?
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