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Issue 4 - Sequence Models course, Gary Marcus vs Yann LeCun, Deep Learning Matrix Calculus, Tensorflow Capsules …

On People…
Debate among two leading researchers, Gary Marcus and Yann LeCun, on whether AI needs more innate machinery - Link

Dan Jurafsky, discusses how to process the language of policing and answers “Does This Vehicle Belong to You?” - Link

On Code and Data…
FAIR releases PyTorch implementation of “Poincaré Embeddings for Learning Hierarchical Representations” - Link
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An interesting podcast discussing NLP highlights and the state-of-the-art techniques. In this episode, Dan Roth discusses strategies on how to deal with cases where data is lacking - Link

Tutorial on how to use Mechanical Turk for tagging your training datasets - Link

Introducing the “Broad Twitter Corpus”, which is a dataset containing tweets collected over stratified times, places and social uses - Link

Beginner’s tutorial on how to train and visualize word vectors (embeddings) - Link
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Tensorflow code used for Capsule model implemented in the paper “Dynamic Routing between Capsules” - Link

On Education and Research… releases new course on sequence models, introducing topics such as GRUs, LSTMs, and Recurrent Neural Networks (RNNs) - Link

Paper: “Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs” - Link

Free online book release by Jeremy Howard discussing the fundamental maths you need for deep learning: “The Matrix Calculus You Need For Deep Learning” - Link
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Another beautiful online website for testing your regular expressions - Link

On Industry…
Yann LeCun steps down as Facebook’s head of AI research group, FAIR - Link

Andrew Ng continues his mission to build an AI-powered society with the formation of the AI Fund - Link

Simple tests show the shallowness of the state-of-the-art Google translate - Link

On using NLP and machine learning for generating clinical labels of medical scans - Link

Worthy Mentions…
The “NLP News” newsletter (Poincaré embeddings, trolling trolls, A2C comic, General AI Challenge, heuristics for writing, year of PyTorch, BlazingText, MaskGAN, Moments in Time) - Link

NLP Chronicles #1: Interdisciplinary studies, ethics, communication, MOOCs, inclusiveness … - Link

The “Deep Learning Weekly” newsletter (Efficient ML, Learning Rates, Detectron, Mobile) - Link

Here is the previous release (#3) of the NLP Newsletter (Emotional Chatbot, Google Colab, Detectron, Deep Learning Course, Google Free GPU, …) - Link
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Update: Last week’s newsletter reached over 500 people; we hope you love this one too!

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.

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