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    Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information

    Semi-supervised learning is a promising approach to dealing with the problem of insufficient labeled data. Recent methods grouped into paradigms of consistency regularization and pseudo-labeling have outstandi...

    Xuemiao Zhang, Zhouxing Tan, Fengyu Lu, Rui Yan… in Knowledge and Information Systems (2024)