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Related Questions
- How do models handle homographs and their varying meanings in different contexts?
- Can you explain the concept of semantic role labeling and its application in disambiguating polysemous words?
- What is the role of word embeddings in capturing contextual information and reducing polysemy?
- How do models like BERT and RoBERTa incorporate contextual information to improve polysemy resolution?
- What is the difference between local and global context in disambiguating polysemous words, and how do models handle this distinction?
- Can you discuss the challenges of handling out-of-vocabulary words and their impact on polysemy resolution in contextual models?
- How do models handle polysemy in domain-specific contexts, such as medical or legal terminology?
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