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Related Questions
- Can you explain how language models resolve polysemous words with different meanings, such as 'bank' as a financial institution or the side of a river?
- How do language models account for the nuances of word senses, such as the difference between 'light' as an object and 'light' as illumination?
- What techniques do language models use to disambiguate homographs, such as 'bow' as a type of ribbon or the act of bending at the waist?
- Can you describe the role of context in helping language models determine the intended meaning of a homograph?
- How do language models handle cases where the same word has different meanings in different cultures or languages?
- What is the impact of semantic ambiguity on the performance of language models in tasks such as question answering and text classification?
- Can you discuss the potential limitations of current language models in handling semantic ambiguity and suggest areas for future research?
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