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Related Questions
- What are some common methods for addressing bias in word embeddings?
- How do techniques like debiasing and sensitivity analysis help reduce bias in word embeddings?
- What is the concept of word embedding bias and why is it a concern in NLP applications?
- Can you explain the difference between bias and variance in word embeddings and how to mitigate them?
- How do methods like data augmentation and adversarial training help reduce bias in word embeddings?
- What role do techniques like fairness metrics and audit tools play in detecting and reducing bias in word embeddings?
- Can you discuss the trade-offs between accuracy and fairness in word embeddings and how to balance them?
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