Papers by Zhiquan Ye

1 papers
Zero-shot Text Classification via Reinforced Self-training (2020.acl-main)

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Challenge: Existing methods to learn from unlabeled data are difficult for zero-shot text classification tasks.
Approach: They propose a self-training based method to efficiently leverage unlabeled data.
Outcome: The proposed method significantly outperforms existing methods in zero-shot text classification tasks on benchmarks and a real-world e-commerce dataset.

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