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Related Papers

Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractDifficult samples of the minority class in imbalanced text classification are usually hard to be classified as they are embedded into an overlapping semantic region with the majority class. In …...

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