Machine learningDeep learning / NLP / CV
多模态文本摘要
多模态文本摘要通过深度学习模型联合处理多种输入模态（最常见的是文本和图像，但也包括视频帧或音频），并对视觉和语言表示进行对齐，从而生成简洁的文本摘要。输出的自然语言摘要能够捕捉所有可用模态的显著内容。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Zhu, J., Li, H., Liu, T., Zhou, Y., Zhang, J., & Zong, C. (2018). MSMO: Multimodal Summarization with Multimodal Output. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 4154–4164. link ↗
- Zhu, J., Zhou, Y., Zhang, J., Li, H., Zong, C., & Li, C. (2020). Multimodal Summarization with Guidance of Multimodal Reference. Proceedings of the AAAI Conference on Artificial Intelligence, 34(05), 9749–9756. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multimodal Text Summarization (Cross-Modal Abstractive and Extractive Summarization). ScholarGate. https://scholargate.app/zh/deep-learning/multimodal-text-summarization
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.
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