Semi-Supervised Text Classification
22 papers with code • 2 benchmarks • 2 datasets
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Most implemented papers
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
However, existing approaches based on pseudo-labeling suffer from the issues of pseudo-label bias and error accumulation.
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
During crisis events, people often use social media platforms such as Twitter to disseminate information about the situation, warnings, advice, and support.