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Related Questions
- How do word embeddings handle homographs and their context-dependent meanings?
- Can you explain the concept of distributional semantics and how it relates to word embeddings?
- What techniques are used to fine-tune word embeddings for specific tasks like entity categorization?
- How do word embeddings capture the nuances of figurative language, such as idioms and metaphors?
- In what ways do word embeddings account for the influence of word context on meaning?
- Can you describe the role of vector space models in capturing context-dependent word meanings?
- How do word embeddings handle polysemy, where a single word has multiple related meanings?
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