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Related Questions
- What are some best practices for designing annotation tasks to minimize annotator bias?
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- What is the role of inter-annotator agreement in evaluating annotation quality, and how can it be measured?
- Can you explain the concept of 'gold standard' annotations and how they are used in machine learning model development?
- How do you handle annotation inconsistencies or disagreements between human annotators?
- What are some common pitfalls to avoid when collecting and annotating data for machine learning models?
- What techniques can be used to improve the efficiency and effectiveness of the annotation process?
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