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Related Questions
- How do large language models handle homographs and their multiple meanings?
- Can you explain the impact of semantic vector spaces on polysemy in language models?
- How does the representation of word senses in lexical semantics influence the accuracy of language models on tasks with polysemous words?
- What are the challenges of representing polysemy in large language models, and how do they affect model performance?
- How do different lexical semantic representations, such as WordNet or ConceptNet, affect the performance of language models on polysemous words?
- Can you discuss the role of contextual information in resolving polysemy in language models?
- How do large language models handle the nuances of word meanings in tasks involving polysemy, such as sentiment analysis or text classification?
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