翻譯-Neural Snowball for Few-Shot Relation Learning
Neural Snowball for Few-Shot Relation Learning Abstract 知識圖譜正處於新的關係不斷增長的狀況，基於大量充足信息預先定義好關係的關係抽取方法不能很好的處理這種狀況。在利用少量的樣本來處理新的關係的目標下，我們提出了一種新穎的自展方法-Neural Snowball，通過轉換現有關係的語義知識來學習新的關係。更詳細地說，我們使用了關係連體網絡（R
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相關文章
- 1. （翻譯）Understanding Convolutional Neural Networks for NLP
- 2. 《Neural Architecture Search with Reinforcement Learning》翻譯
- 3. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
- 4. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS翻譯
- 5. Recurrent Neural Networks for Remaining Useful Life Estimation翻譯
- 6. 《Constrained Convolutional Neural Networks for Weakly Supervised Segmentation》翻譯
- 7. Deep Neural Networks for Object Detection論文翻譯
- 8. Memory Augmented Graph Neural Networks for Sequential Recommendation翻譯
- 9. Neural Architectures for Named Entity Recognition翻譯
- 10. [AAAI2018]SEE:Syntax-aware Entity Embedding for Neural Relation Extraction