Classifying Relations by Ranking with Convolutional Neural Networks

时间 2020-12-24

标签自然语言处理深度学习繁體版

原文原文链接

句子关系抽取论文阅读(2015 ACL) abstract 关系分类是一项重要的语义处理任务，而最新的系统仍依赖于费时费力的人工抽取特征。在本文的工作中，我们使用卷积神经网络来解决关系分类任务，该卷积神经网络通过排名（ranking）进行分类。我们提出了一个新的成对排名损失函数（pairwise ranking loss function）。我们使用SemEval-2010 Task 8数据集执行

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1. ImageNet Classification with Deep Convolutional Neural Networks
2. Convolutional Neural Networks with Alternately Updated Clique
3. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
4. ImageNet Classiﬁcation with Deep Convolutional Neural Networks
5. IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
6. Convolutional Neural Networks: Application
7. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
8. C4:Convolutional Neural Networks
9. 读文献——《ImageNet classification with deep convolutional neural networks》
10. Bag of Tricks for Image Classification with Convolutional Neural Networks

>>更多相关文章<<