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Related Questions
- What are the most common types of heuristics used by annotators in labeling data?
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- What are some potential biases introduced by annotators' heuristics in labeled data?
- Can you explain how annotators' heuristics affect the reliability of labeled data in different domains?
- How can machine learning model developers account for annotators' heuristics in their model's evaluation and improvement?
- What are some methods for detecting and mitigating the impact of annotators' heuristics on labeled data quality?
- How do annotators' heuristics influence the interpretability of machine learning models and their predictions?
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