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Character-level Convolutional Networks for Text Classification by Zhang, Xiang; Zhao, Junbo; LeCun, Yann is a scholarly article available to read on EtoBox.

What is Character-level Convolutional Networks for Text Classification about?

This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results. Comparisons are offered against traditional models such as bag of words, n-grams and their TFIDF variants, and deep learning models such as word-based ConvNets and recurrent neural networks.

Author

Zhang, Xiang; Zhao, Junbo; LeCun, Yann

Published

2015

Language

EN