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Related Questions
- What are some common methods for addressing bias in word embeddings?
- Can you explain the concept of word embeddings and how they can be biased?
- How do word embeddings learn to represent words in a way that reflects their context and meaning?
- What are some techniques for debiasing word embeddings, such as altering the training data or using regularization?
- Can you discuss the impact of bias in word embeddings on downstream NLP tasks, such as sentiment analysis or language translation?
- How can we evaluate the bias in word embeddings and measure the effectiveness of debiasing techniques?
- What are some best practices for creating and using word embeddings in a way that minimizes bias and promotes fairness?
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