Machine learningDeep learning / NLP / CV
基于多语言 RoBERTa 的分类
基于多语言 RoBERTa 的分类使用 XLM-RoBERTa（一种通过掩码语言建模在 100 多种语言上预训练的 Transformer 模型），并在标注文本上进行微调，以跨多种语言分配类别。通过在语言之间共享单个模型，它能够实现强大的跨语言和零样本文本分类，而无需单独的每种语言分类器。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzman, F., Grave, E., Ott, M., Zettlemoyer, L., & Stoyanov, V. (2020). Unsupervised Cross-lingual Representation Learning at Scale. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pp. 8440–8451. DOI: 10.18653/v1/2020.acl-main.747 ↗
- Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019). RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv preprint arXiv:1907.11692. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilingual RoBERTa-based Text Classification (XLM-RoBERTa). ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-roberta-based-classification
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- [需翻译标题：BERT-based Classification...]深度学习↔ compare
- 多语言句子嵌入深度学习↔ compare
- 多语言 Transformer深度学习↔ compare
- 基于RoBERTa的分类深度学习↔ compare