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Related Questions
- How does context influence the disambiguation of polysemous words in machine learning models?
- Can you explain the role of contextual information in resolving semantic ambiguity in word embeddings?
- What are some common techniques used in machine learning to disambiguate polysemous words based on context?
- How do machine learning models handle words with multiple meanings in a sentence, and what is the impact of context on this process?
- Can you discuss the relationship between context and semantic meaning in polysemous words, and how machine learning models represent this relationship?
- How does the context in which a polysemous word is used affect its representation in word embeddings and semantic spaces?
- What are some challenges and limitations of using context to disambiguate polysemous words in machine learning models, and how can they be addressed?
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