Papers with weakly-supervised classification

1 papers
LIME: Weakly-Supervised Text Classification without Seeds (2022.coling-1)

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Challenge: Existing approaches to weakly-supervised text classification use only label names as sources of supervision.
Approach: They propose a framework for weakly-supervised text classification that replaces seed-word generation with entailment-based pseudo-classification.
Outcome: The proposed framework outperforms baselines and state-of-the-art in 4 benchmarks.

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