Discuss the role of active learning in improving NLP model performance.
Instruction: Explain active learning and how it can be utilized to incrementally improve the performance of an NLP model with less labeled data.
Context: Evaluates active learning as selective annotation: choosing informative examples for labeling, balancing annotation cost and coverage, and testing whether the strategy improves the NLP model.
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Active learning improves performance by choosing the most informative examples for labeling instead of labeling data at random...