Classifying Relations by Ranking with Convolutional Neural Networks
句子關係抽取論文閱讀(2015 ACL) abstract 關係分類是一項重要的語義處理任務，而最新的系統仍依賴於費時費力的人工抽取特徵。在本文的工作中，我們使用卷積神經網絡來解決關係分類任務，該卷積神經網絡通過排名（ranking）進行分類。我們提出了一個新的成對排名損失函數（pairwise ranking loss function）。我們使用SemEval-2010 Task 8數據集執行
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相關文章
- 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
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- 9. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 10. Bag of Tricks for Image Classification with Convolutional Neural Networks