Machine learningDeep learning / NLP / CV
多语言文本摘要
多语言文本摘要应用预训练的多语言编码器-解码器模型（如 mT5 或 mBART）来生成多种语言文档的简洁摘要，这些文档可以是同一语言（单语）或跨语言（跨语）。在 XL-Sum 等多语言摘要基准上对这些模型进行微调，可以使单个模型覆盖数十种语言。
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来源
- Xue, L., Constant, N., Roberts, A., Kale, M., Al-Rfou, R., Siddhant, A., Barua, A., & Raffel, C. (2021). mT5: A Massively Multilingual Pre-Trained Text-to-Text Transformer. Proceedings of NAACL-HLT 2021, pp. 483–498. Association for Computational Linguistics. link ↗
- Hasan, T., Bhattacharjee, A., Islam, M. S., Mubasshir, K., Li, Y.-F., Kang, Y.-B., Rahman, M. S., & Shahriyar, R. (2021). XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. Findings of ACL-IJCNLP 2021, pp. 4693–4703. Association for Computational Linguistics. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilingual Text Summarization. ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-text-summarization
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