Process / pipeline
少样本文本分类
少样本文本分类使用每类仅少量标注示例来将文档分配到类别。在高 et al. (2021) 的研究进展以及 Tunstall et al. (2022) 的无提示 SetFit 方法的基础上，它依赖于原型网络、MAML 或大型预训练模型的微调来从稀疏标签中学习。
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来源
- Gao, T., Fisch, A. & Chen, D. (2021). Making Pre-trained Language Models Better Few-shot Learners. ACL. DOI: 10.18653/v1/2021.acl-long.295 ↗
- Tunstall, L., Reimers, N., Jo, U.E.S., Bates, L., Korat, D., Wasserblat, M. & Pereg, O. (2022). Efficient Few-Shot Learning Without Prompts. arXiv. DOI: 10.48550/arXiv.2209.11055 ↗
如何引用本页
ScholarGate. (2026, June 1). Few-Shot Text Classification. ScholarGate. https://scholargate.app/zh/text-mining/few-shot-text-classification
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