[COLING2016]Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
我將能表示論元大意的圖片一一給出.然後再給出解釋: 遠程監督學習就是給包打標籤, 一個包裏的所有句子包含的實體對是相同的. Figure 1也就是本文的做法就是將包裏所有的句子一起處理, 確定實體對的關係(不是一個關係類型,一個包可能有多個關係) Figure 3給出一句話的處理過程, 首先將句子pad 零到句長爲h, 然後將句子每個詞都轉換爲embedding(word embedding +
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相關文章
- 1. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
- 2. Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
- 3. ImageNet Classification with Deep Convolutional Neural Networks
- 4. Convolutional Neural Networks with Alternately Updated Clique
- 5. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 6. ImageNet Classification with Deep Convolutional Neural Networks
- 7. IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
- 8. Convolutional Neural Networks: Application
- 9. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
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