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Related Questions
- How do you handle entity disambiguation in texts with multiple authors and sources?
- What are some common challenges in evaluating NER models on texts with multiple authors and sources?
- How can you ensure that NER models accurately capture entities from different sources and authors?
- What are some strategies for dealing with inconsistent or conflicting entity annotations in texts with multiple authors and sources?
- How do you evaluate the performance of NER models on texts with multiple authors and sources, considering the impact of different sources and authors on entity recognition?
- What are some best practices for training NER models on texts with multiple authors and sources, to improve their robustness and accuracy?
- How can you identify and address potential biases in NER models when evaluating their performance on texts with multiple authors and sources?
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