Keyword/phrase extraction from Text using Deep Learning libraries 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?
The Google Research Blog should be helpful in the context of TensorFlow.

In the above article, there is a reference to the Annotated English Gigaword dataset which is routinely used for text summarization.

The 2014 paper by Sutskever et al titled Sequence to Sequence Learning with Neural Networks could be a meaningful start on your journey as it turns out that for shorter texts, summarization can be learned end-to-end with a deep learning technique. 

Lastly, here is a great Github repository demonstrating text summarization while making use of TensorFlow.