DPCNN做文本分類《Deep Pyramid Convolutional Neural Networks for Text Categorization》
原文鏈接 本文發表於自然語言處理領域頂級會議 ACL 2017 代碼鏈接 摘要 本文提出了一種新型的CNN結構，可以有效提取文本中的遠程關係特徵，並且複雜度不高。實驗證明，效果比以往的CNN結構要好。 模型 本文提出的模型爲Word-level deep pyramid CNN (DPCNN) ，其結構如下圖所示： 1.Region embedding 這個步驟可以理解爲，將onehot look
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相關文章
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