Machine learningDeep learning / NLP / CV

半监督式BERT分类

半监督式BERT分类在少量标记文本示例上微调预训练的BERT编码器，同时利用大量未标记文本——通过一致性训练、伪标记或数据增强——来生成高质量的分类器，即使在手动标注稀缺的情况下也是如此。

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半监督式BERT分类

[需翻译标题：BERT-based Classi…微调 BERT 分类基于RoBERTa的分类基于自监督的BERT分类半监督式 Transformer 弱监督BERT分类 Semi-supervised GAN 半监督问答基于RoBERTa的半监督分类半监督句子嵌入

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来源

Xie, Q., Dai, Z., Hovy, E., Luong, T., & Le, Q. (2020). Unsupervised Data Augmentation for Consistency Training. Advances in Neural Information Processing Systems (NeurIPS), 33, 27780–27792. link ↗
Chen, J., Yang, Z., & Yang, D. (2020). MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2147–2157. DOI: 10.18653/v1/2020.acl-main.194 ↗

如何引用本页

ScholarGate. (2026, June 3). Semi-supervised BERT-based Text Classification. ScholarGate. https://scholargate.app/zh/deep-learning/semi-supervised-bert-based-classification

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[需翻译标题：BERT-based Classification...]深度学习↔ compare
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被引用于

Semi-supervised GAN 半监督问答基于RoBERTa的半监督分类半监督句子嵌入半监督情感分析半监督视觉变换器半监督Word2Vec 弱监督BERT分类

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