Reading list

nlp.md

Blogs

• Sapphire Deep Learning Upskilling by Dr. Adam Bermingham, Dr. Ana Peleteiro Ramallo - 4 Jan 2017

Papers

• Learning Deep Architectures for AI by Yoshua Bengio
• Natural Language Processing (Almost) from Scratch by Ronan Collobert, 2011
• Recurrent neural network based language model by Toma´s Mikolov, 2010
• Distributed Representations of Words and Phrases and their Compositionality by Tomas Mikolov

Code

• Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow by Agustinus Kristiadi
• rasa.ai - Open source conversational AI

Courses

• Deep Learning by Google on Udacity
• Stanford Deep Learning for NLP 2016 on YouTube
• Stanford Deep Learning for NLP (CS224d)
• Deep Learning for NLP by Stanford (slides)
• Deep Learning for NLP at Oxford with Deep Mind 2017
• Columbia University - Natural Language Processing - recommended by Pavlos, a great quick intro.

Reading lists

• Awesome Recurrent Neural Networks by Jiwon Kim

Real books

• Speech and Language Processing, 2nd Edition by Daniel Jurafsky, 2009