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Related Questions
- What are the common challenges in named entity recognition, such as ambiguity and context dependence, and how are they addressed?
- How does entity normalization handle homographs and polysemous words, and what techniques are used to disambiguate them?
- What are the differences between rule-based and machine learning-based approaches to entity normalization, and which one is more effective?
- How does named entity recognition handle out-of-vocabulary words and rare entities, and what techniques are used to improve performance?
- What are the challenges in entity normalization for languages with non-Latin scripts, and how are they addressed?
- How does entity normalization handle entity evolution and changes in entity representation over time?
- What are the common evaluation metrics used to assess the performance of named entity recognition and entity normalization systems?
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