Hi, I have been working on a tutorial as a fast introduction to deep learning NLP with Pytorch.  I feel that the current tutorials focus mostly on CV.  There are some NLP examples out there, but I didn’t find anything for beginners (which I am looking for, since we are using Pytorch for an NLP class I am TA’ing).  So I wrote a tutorial.  It assumes NLP knowledge and familiarity with neural nets, but not with deep learning programming.
I wanted to post the tutorial here to get feedback and also because I figure it may be helpful to some people.  There are some fast explanations and a lot of code, with a few working examples (nothing state of the art, just things to get an idea).  I still need to add a BiLSTM-CRF tagger for NER example, which will be the most complicated one.  Here’s the link.

  
      
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rguthrie3/DeepLearningForNLPInPytorch 1.1k

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction. - rguthrie3/DeepLearningForNLPInPytorch


  
  
    
    
  
  


If you look at it, I’m happy to get any feedback.  I want it to be useful to the students in my class.