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Related Questions
- What are some common biases that human annotators may introduce during the annotation process, such as confirmation bias or anchoring bias?
- How can biases in human annotation affect the accuracy and reliability of machine learning models?
- What are some strategies for mitigating biases in human annotation, such as using diverse annotator pools or implementing quality control checks?
- Can biases in human annotation be addressed through data preprocessing or feature engineering?
- How do biases in human annotation impact the interpretability of machine learning models?
- What are some common pitfalls to avoid when trying to address biases in human annotation, such as overfitting or underfitting?
- Can biases in human annotation be mitigated through the use of active learning or transfer learning techniques?
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