Nearest Neighbor Classifier with Margin Penalty for Active Learning. (arXiv:2203.09174v2 [cs.IR] UPDATED)

As deep learning becomes the mainstream in the field of natural language
processing, the need for suitable active learning method are becoming
unprecedented urgent. Active Learning (AL) methods based on nearest neighbor
classifier are proposed and demonstrated superior results. However, existing
nearest neighbor classifier are not suitable for classifying mutual exclusive
classes because inter-class discrepancy cannot be assured by nearest neighbor
classifiers. As a result, informative samples in the margin area can not be
discovered and AL performance are damaged. …

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