Recurrent Convolutional Neural Networks for Text Classification
介绍了CNN表示文本的模型之后，本篇将会分享一篇用CNN结合RNN的模型来表示文本。paper题目是Recurrent Convolutional Neural Networks for Text Classification，作者是来自中科院大学的来斯惟博士。 本文要解决的问题是文本分类，文本分类最关键的问题是特征表示，传统的方法经常会忽略上下文信息和词序，无法捕捉到词义。近几年随着深度学习的火
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相关文章
- 1. Recurrent Convolutional Neural Networks for Text Classification
- 2. 论文《Recurrent Convolutional Neural Networks for Text Classification》总结
- 3. Recurrent Convolutional Neural Networks for Text Classification阅读笔记
- 4. 论文笔记：Recurrent Convolutional Neural Networks for Text Classification
- 5. Convolutional Neural Networks for Sentence Classification
- 6. Disconnected Recurrent Neural Networks for Text Categorization
- 7. 《Convolutional Neural Networks for Sentence Classification》
- 8. 《Character-level Convolutional Networks for Text Classification》
- 9. Very Deep Convolutional Networks for Text Classification
- 10. Graph Convolutional Networks for Text Classification