DPCNN做文本分类《Deep Pyramid Convolutional Neural Networks for Text Categorization》
原文链接 本文发表于自然语言处理领域顶级会议 ACL 2017 代码链接 摘要 本文提出了一种新型的CNN结构，可以有效提取文本中的远程关系特征，并且复杂度不高。实验证明，效果比以往的CNN结构要好。 模型 本文提出的模型为Word-level deep pyramid CNN (DPCNN) ，其结构如下图所示： 1.Region embedding 这个步骤可以理解为，将onehot look
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