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Related Questions
- How does polysemy affect the accuracy of word embeddings in natural language processing?
- Can you explain the difference between homonymy and polysemy in the context of word embeddings?
- How do word embeddings handle multiple meanings of a word with the same spelling but different senses?
- What are the implications of polysemy on the performance of downstream NLP tasks that rely on word embeddings?
- Can you discuss the relationship between polysemy and the concept of vector space models in word embeddings?
- How do word embeddings handle polysemy in words like 'bank' which can refer to both a financial institution and the side of a river?
- Can you provide examples of words that exhibit polysemy and how their embeddings are represented in a word embedding space?
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