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Related Questions
- What techniques do large language models employ to identify entities in text when they are mentioned in a non-standard or unconventional manner?
- How do large language models handle out-of-vocabulary words or entities that are not explicitly mentioned in their training data?
- Can you explain the concept of 'entity disambiguation' in the context of large language models and how it relates to entity recognition?
- What role does context play in entity recognition for large language models, especially when entities are mentioned in a non-standard or unconventional manner?
- How do large language models handle entities that are mentioned through indirect references, such as metaphors or analogies?
- What are some common challenges that large language models face when recognizing entities in text, and how do they address these challenges?
- Can you discuss the importance of entity normalization in large language models and how it relates to entity recognition?
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