Papers with JointMatch

1 papers
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification (2023.emnlp-main)

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Challenge: Existing approaches to semi-supervised text classification suffer from pseudo-label bias and error accumulation.
Approach: They propose a pseudo-labeling approach to semi-supervised text classification that unifies ideas from semi-semi-supervised learning and the task of learning with noise.
Outcome: The proposed approach achieves a significant improvement on benchmark datasets even in the extremely-scarce-label setting.

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