Article

Class-Adaptive Ensemble-Vote Consistency for Semi-Supervised Text Classification with Imbalanced Data

2026-01-29

Abstract excerpt

Semi-supervised text classification (SSL-TC) faces significant hurdles in real-world applications due to the scarcity of labeled data and, more critically, the prevalent issue of highly imbalanced class distributions. Existing SSL methods often struggle to effectively recognize minority classes, leading to suboptimal overall performance. To address these limitations, we propose Class-Adaptive Ensemble-Vote Consist...

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Literature Corpus work: d968eaf8-e27a-5bb0-b457-ce4a83a71e4d
DOI: 10.20944/preprints202601.2265.v1

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