[COLING2016]Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
我将能表示论元大意的图片一一给出.然后再给出解释: 远程监督学习就是给包打标签, 一个包里的所有句子包含的实体对是相同的. Figure 1也就是本文的做法就是将包里所有的句子一起处理, 确定实体对的关系(不是一个关系类型,一个包可能有多个关系) Figure 3给出一句话的处理过程, 首先将句子pad 零到句长为h, 然后将句子每个词都转换为embedding(word embedding +
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相关文章
- 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
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- 5. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 6. ImageNet Classification with Deep Convolutional Neural Networks
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- 9. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
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