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Related Questions
- How do large language models handle word senses and their multiple meanings in a sentence?
- Can you explain the challenges of polysemy in natural language processing and how large language models address them?
- How do large language models disambiguate homographs and polysemous words to understand their context?
- What techniques do large language models use to handle the nuances of word meanings and their multiple interpretations?
- How do large language models deal with the ambiguity of words with multiple related meanings?
- Can large language models learn to recognize and distinguish between different senses of a word based on context?
- What is the role of word embeddings in helping large language models handle polysemy and homographs?
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