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Related Questions
- What are some common biases present in word embeddings and how do they impact entity recognition models?
- Can you explain the concept of de-biasing word embeddings and how it differs from other techniques like data augmentation?
- How does the removal of biased word embeddings affect the performance of entity recognition models in terms of accuracy and fairness?
- What are some real-world applications where de-biasing word embeddings has led to significant improvements in entity recognition models?
- How does de-biasing word embeddings address issues of representation and inclusion in entity recognition models?
- Can you provide examples of entity recognition models that have been de-biased using word embeddings and the results achieved?
- What are some challenges and limitations associated with de-biasing word embeddings in entity recognition models?
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