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Tuesday, December 8 • 19:00 - 23:59
Character-level Convolutional Networks for Text Classification

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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.


Tuesday December 8, 2015 19:00 - 23:59
210 C #10

Attendees (12)