Character-level Convolutional Networks for Text Classification (2015-09-04T00:00:00.000000Z)

TL;DR

This article constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results in text classification.

Abstract

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.

Authors

Yann LeCun

18 papers

J. Zhao

4 papers

TL;DR

Abstract

Authors

References32 items

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