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Related Questions
- How do pre-training and fine-tuning large language models help reduce ambiguity in word meanings?
- Can you explain the difference between pre-training and fine-tuning in the context of word sense disambiguation?
- What are some common techniques used in pre-training to capture nuances of word meanings?
- How does the fine-tuning process adapt pre-trained models to specific domains or tasks to improve word sense disambiguation?
- What are some challenges in addressing ambiguity in word meanings, and how can pre-training and fine-tuning help overcome them?
- Can you discuss the role of context in pre-training and fine-tuning models to improve word sense disambiguation?
- How do pre-trained models handle homographs, homophones, and other types of ambiguous words?
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