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Related Questions
- What are the common metrics used to evaluate the performance of entity recognition models?
- How can we handle out-of-vocabulary words and domain-specific entities in entity recognition models?
- What are some techniques for dealing with noisy or inconsistent data in complex documents?
- How can we assess the model's ability to recognize entities across different sources and authors?
- What is the role of active learning in improving the performance of entity recognition models on complex documents?
- How can we evaluate the model's performance on entities with varying levels of ambiguity or uncertainty?
- What are some strategies for adapting entity recognition models to handle documents with diverse formatting and structure?
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