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Related Questions
- What are the key considerations for annotator selection and training in the annotation process?
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- What are some strategies for maintaining consistency in annotation guidelines and protocols?
- How can you validate the quality and accuracy of annotated data before model training?
- What are the best practices for handling ambiguous or unclear cases in the annotation process?
- Can you describe a process for reviewing and revising annotated data to ensure accuracy and consistency?
- What role does active learning play in ensuring the quality and accuracy of annotated data, and how can you implement it in your workflow?
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