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Related Questions
- What are some strategies for data annotators to identify and address ambiguity in data?
- How do data annotators handle uncertain data that lacks clear labels or categorization?
- What is the role of active learning in dealing with ambiguous or uncertain data in machine learning?
- Can you explain the concept of annotator agreement and how it relates to handling uncertain data?
- What techniques can data annotators use to reduce the impact of ambiguous or uncertain data on model performance?
- How do data annotators balance the need for accurate labeling with the potential for uncertainty in ambiguous data?
- What are some best practices for data annotators to handle conflicting labels or uncertain data in a dataset?
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