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Related Questions
- How do large language models like transformer-based architectures handle polysemy in word embeddings?
- Can you explain the concept of polysemy and its impact on natural language processing?
- How do machine learning models account for the multiple meanings of a single word?
- What techniques are used to disambiguate word senses in machine learning models?
- Can you discuss the role of context in disambiguating polysemous words in machine learning models?
- How do machine learning models handle homographs and homophones, which are types of polysemy?
- What are some common challenges in modeling polysemy in machine learning models and how are they addressed?
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