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Deep Reinforcement Learning Agents, Tensorflow SPINN, Tensor Comprehensions, Emotion Understanding, State of NLU...

On People…
Want to learn to ship neural network on iOS using PyTorch? See more here - Link

Nando de Freitas discusses the need for taking emotion and sentiment studies more seriously - Link
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(Slides - Stanford) The state of Natural Language Understanding - Link

On Code and Data…
(Video) Stephen Merity discusses attention and memory in deep learning networks - Link

Tensorflow introduces SPINN, a tool that enables natural language understanding in Tensorflow with eager execution - Link

An introduction to exploratory analysis for performing text mining tasks - Link
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On Education and Research…
A tutorial on "Introduction to learning to trade with reinforcement learning" - Link

Insightful and honest article opinionating on whether deep reinforcement learning works or not - Link

A paper discussing various methods on how to improve language modeling by tying input word vectors and output projections - Link

A list of must-watch resources for learning to become an expert in NLP - Link

On Industry…
Facebook AI Research (FAIR) release "Tensor Comprehensions", which is a library that aims to bridge gap between researchers and engineers who work together in ML research and implementations - Link
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"The nlp algorithm to blame for Google Translator becoming a sexist" - Link

Computer scientists have developed a text mining tool based on NLP that determines cancer therapeutics given a patient's biomarkers - Link

Linguistcs Agents Ltd. releases NLP platform for training of deep reinforcement learning agents - Link

Worthy Mentions…
Natural Language Processing Newsletter (Issue 16) - SPINN, ∂4, Nested LSTMs, Capsule Networks, Minigo, Matrix Calculus, Past Kaggle Comps, Private Image Analysis, CNN in Google Sheets, AI & Games, IMPALA - Link

An interesting machine learning course on Medium; in the recent episode, visual data analysis for ML is discussed - Link

A nice documentation comparing web annotation tools useful for conducting research - Link

See past issue of the NLP Newsletter - Link


If you spot any errors or inaccuracies in this newsletter please open an issue.
Submit a pull request if you would like to add important NLP news here.