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Related Questions
- Can language models handle homophones in part-of-speech tagging by using context and linguistic knowledge?
- How do language models differentiate between homophones in named entity recognition, such as 'bank' as a financial institution and 'bank' as a riverbank?
- What techniques do language models employ to handle homophones in part-of-speech tagging, such as using part-of-speech taggers and dictionary-based approaches?
- Can language models learn to recognize homophones through unsupervised learning or self-supervised learning?
- How do language models handle homophones in context-dependent tasks, such as sentiment analysis and text classification?
- What role does semantic knowledge play in helping language models handle homophones in tasks like named entity recognition?
- Can language models be fine-tuned to improve their handling of homophones in specific tasks and domains?
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