Instruction: Explain active learning and how it can be utilized to incrementally improve the performance of an NLP model with less labeled data.
Context: This question tests the candidate's knowledge of semi-supervised learning techniques and their application to NLP, emphasizing efficiency in model training.
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The way I'd explain it in an interview is this: Active learning improves performance by choosing the most informative examples for labeling instead of labeling data at random. In NLP, that is useful when annotation is expensive and the data...