《Convolutional Neural Networks for Sentence Classification》论文研读
一、论文梗概： 提出了如何有效利用CNN进行句级别的分类任务进行了实验对比验证。 Introduction: 提到CNN用于NLP的背景，前人做过的工作，并且解释CNN应用在NLP任务上的合理性。 Model: 介绍了本文提出的有static和none-stati两种channel的用于句级别分类的CNN模型结构，并进行公式推演。 Datasets and Experimental Setup：介
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相关文章
- 1. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
- 2. 论文《Convolutional Neural Networks for Sentence Classification》总结
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- 4. 《Convolutional Neural Networks for Sentence Classification》
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