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Related Questions
- How does polysemy affect the accuracy of word similarity measures in word embeddings?
- Can you explain the impact of polysemy on the performance of language models in tasks such as text classification and sentiment analysis?
- What are some strategies for addressing the issue of polysemy in word embeddings and improving their performance in NLP tasks?
- How does polysemy influence the effectiveness of word embeddings in capturing semantic relationships between words?
- What are the implications of polysemy on the interpretability of word embeddings and their ability to generalize to new contexts?
- Can you discuss the role of polysemy in reducing the quality of word analogies and other tasks that rely on word embeddings?
- How can polysemy be mitigated in word embeddings to improve their performance in downstream NLP applications?
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