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Perhaps this is too broad, but I am looking for references on how to use deep learning in a text summarization task.

I have already implemented text summarization using standard word-frequency approaches and sentence-ranking, but I'd like to explore the possibility of using deep learning techniques for this task. I have also gone through some implementations given on wildml.com using Convolutional Neural Networks (CNN) for sentiment analysis; I'd like to know how one could use libraries such as TensorFlow or Theano for text summarization and keyword extraction. Its been about a week since I started experimenting with Neural nets, and I am really excited to see how the performance of these libraries compares to my previous approaches to this problem.

I am particularly looking for some interesting papers and github projects related to text summarization using these frameworks. Can anyone provide me with some references?

Thanks @franciscojavierarceo I will look into the above mentioned papers. – shanky_thebearer – 2016-12-19T05:32:49.110