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Related Questions
- What techniques do NER models use to distinguish between multiple meanings of the same word?
- How do NER models handle different contexts in which the same word can have different entities?
- Can NER models leverage external resources such as Wikipedia or entity databases to resolve entity disambiguations?
- In what ways do NER models use semantic information to disambiguate between entities with the same name?
- How do NER models handle words with multiple pronunciations or spellings that represent different entities?
- What role does part-of-speech tagging play in entity disambiguation for NER models?
- Can NER models learn to recognize nuanced differences in language that allow for more accurate entity disambiguation?
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