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Related Questions
- How does annotator variability impact the performance of machine learning models in out-of-domain tasks?
- What are the key factors contributing to annotator variability in out-of-domain tasks?
- Can you explain the relationship between annotator variability and model uncertainty in out-of-domain tasks using a specific example?
- How can we quantify and measure annotator variability in out-of-domain tasks?
- What are the implications of annotator variability on model performance in out-of-domain tasks?
- Can you discuss the role of data quality in mitigating the effects of annotator variability in out-of-domain tasks?
- How can we leverage model uncertainty to improve the robustness of out-of-domain tasks to annotator variability?
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