Process / pipeline
零样本分类 — 无需训练数据的文本分类
零样本分类是一种自然语言处理任务，它将文本分配到用自然语言描述的类别中，而无需任何带标签的训练数据。Yin、Hay和Roth (2019) 将其形式化为一个蕴涵问题，它允许大型预训练语言模型通过简单地命名新类别来即时识别它们，从而能够快速适应新的标签集。
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来源
- Yin, W., Hay, J. & Roth, D. (2019). Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. EMNLP, 3914-3923. DOI: 10.18653/v1/D19-1404 ↗
- Brown, T. et al. (2020). Language Models are Few-Shot Learners. NeurIPS. link ↗
如何引用本页
ScholarGate. (2026, June 1). Zero-Shot Text Classification. ScholarGate. https://scholargate.app/zh/text-mining/zero-shot-classification
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