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Semi-Supervised Learning for NLP
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Which of the following is a key assumption in semi-supervised learning for NLP?
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A
The labeled and unlabeled data are identically distributed.
💡 Explanation:
Semi-supervised learning assumes that the labeled and unlabeled data are drawn from the same underlying distribution, allowing the unlabeled data to provide additional information for learning.