Instruction: Explain both learning paradigms and give examples of their use in NLP.
Context: This question is designed to test the candidate's understanding of different machine learning approaches and how they are applied in the context of NLP.
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The way I'd explain it in an interview is this: In supervised NLP, the model learns from labeled examples such as sentiment classes, entity tags, or question-answer pairs. In unsupervised or self-supervised NLP, the model learns from unlabeled text by discovering...