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Related Questions
- What are the key differences between named entity recognition and contextual understanding in language models?
- How do challenges such as ambiguity, polysemy, and context-dependent semantics impact named entity recognition for contextual prompts?
- What are the primary techniques used to address out-of-vocabulary words and domain-specific entities in named entity recognition?
- How do you handle entities with multiple labels or overlapping categories in contextual named entity recognition?
- What are the implications of using pre-trained language models for named entity recognition in contextual prompts?
- How can you evaluate the performance of named entity recognition models for contextual prompts, and what metrics are commonly used?
- What are the strategies for adapting named entity recognition models to handle contextual nuances and idiomatic expressions?
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