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多语言卷积神经网络

多语言CNN在应用于源自两种或多种语言的词嵌入的卷积滤波器,生成共享的特征表示,使单个模型能够在语言边界上进行分类、标记或提取信息,而无需为每种语言训练单独的模型。它通过多语言或跨语言输入嵌入来扩展标准的文本CNN架构。

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来源

  1. Kim, Y. (2014). Convolutional Neural Networks for Sentence Classification. Proceedings of EMNLP 2014, pp. 1746–1751. link
  2. Convolutional neural network. Wikipedia. link

如何引用本页

ScholarGate. (2026, June 3). Multilingual Convolutional Neural Network (ML-CNN). ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-convolutional-neural-network

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ScholarGateMultilingual Convolutional Neural Network (Multilingual Convolutional Neural Network (ML-CNN)). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/multilingual-convolutional-neural-network · 数据集: https://doi.org/10.5281/zenodo.20539026