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Related Questions
- How do large language models handle polysemy and homographs in natural language processing?
- Can you explain the role of contextual information in resolving ambiguities in word meanings in language models?
- What are some common techniques used by machine learning models to disambiguate words with multiple meanings?
- How do language models use semantic context to infer the intended meaning of a word with multiple homographs?
- What is the difference between a homograph and a homophone, and how do language models handle each?
- Can you provide examples of words with multiple homographs and how language models resolve their meanings?
- How do language models use linguistic features such as syntax and pragmatics to disambiguate word meanings?
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