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Related Questions
- What are some common biases that annotators may bring to the labeling process?
- How can annotators' assumptions about language or context impact their labeling of negative examples?
- Can you provide examples of how annotators' biases and assumptions may lead to inconsistent labeling?
- What role does domain knowledge play in annotators' labeling of negative examples?
- How can annotators be trained to recognize and mitigate their own biases and assumptions?
- What are some strategies for ensuring that annotators' labeling is consistent and reliable?
- How can the labeling process be designed to minimize the influence of annotators' biases and assumptions?
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