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Related Questions
- Can annotators' biases affect the consistency of data labels?
- How can training or prior knowledge of annotators impact the reliability of data labels?
- What are the potential consequences of inconsistent data labels on machine learning model performance?
- Can annotators' varying levels of expertise influence the consistency of data labels?
- How does annotators' prior knowledge of the task or domain affect data label consistency?
- Can the use of guidelines or protocols reduce the impact of annotators' training or prior knowledge on data label consistency?
- What strategies can be employed to minimize the influence of annotators' training or prior knowledge on data label consistency?
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