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Related Questions
- What is the significance of contextual information in understanding word meanings in large language models?
- How do large language models like BERT and RoBERTa handle polysemy and homographs?
- Can you explain the concept of contextualization in natural language processing and its role in large language models?
- How do large language models use surrounding text to disambiguate the meaning of a word?
- What is the difference between contextualized and non-contextualized word embeddings in large language models?
- How do large language models like BERT and RoBERTa use contextual information to resolve ambiguity in word senses?
- Can you describe the process of contextual word sense induction in large language models and its applications?
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