Attentive Pooling Networks论文讲解

时间 2020-12-20

标签自然语言处理繁體版

原文原文链接

这篇论文是做是一个做问答对匹配的模型，在多个回答里选出正确的那个答案，整篇论文相对简单。之前的问答对匹配模型是将CNN或者BiLSTM提取后的特征向量相互做余弦相似度，这篇论文的创新是加上了Attention层和使用不同的pooling层，column-wise max pooling 和 row-wise max pooling 之前的模型是本篇论文的模型是 Q 和 A 是问题和答案通过CN

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1. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks论文解读
2. Attentive Sequence to Sequence Networks
3. 论文笔记：Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
4. 讲解 Spatial Pyramid Pooling
5. A Structured Self-attentive Sentence Embedding 论文笔记
6. Deformable ConvNets--Part4：Deformable Convolutional Networks论文解读
7. [论文笔记]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
8. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文翻译
9. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文笔记
10. 论文阅读 # Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

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