Deep Pyramid Convolutional Neural Networks for Text Categorization

  title={Deep Pyramid Convolutional Neural Networks for Text Categorization},
  author={Rie Johnson and Tong Zhang},
This paper proposes a low-complexity word-level deep convolutional neural network (CNN) architecture for text categorization that can efficiently represent longrange associations in text. In the literature, several deep and complex neural networks have been proposed for this task, assuming availability of relatively large amounts of training data. However, the associated computational complexity increases as the networks go deeper, which poses serious challenges in practical applications… CONTINUE READING