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NLP News - Flies smell word vectors, MarianNMT, Distributed Learning with keras, NLP workshops, NLP for net neutrality, Fairness measures, Opinions on Reproducibility, How to conduct ML research, FigureQA

This edition of the NLP Newsletter answers the following burning questions: Can flies smell word vect
November 27 · Issue #11 · View online
NLP News
This edition of the NLP Newsletter answers the following burning questions: Can flies smell word vectors? ✅  What is a fast NMT library? ✅ How can I train on multiple GPUs with keras? ✅ Which NLP workshops should I attend next year? ✅ How many anti-net neutrality comments have been faked? ✅ How can I measure fairness? ✅ What does reproducibility in ML mean? ✅ How should I conduct ML research? ✅ What is a novel way to deal with large output spaces with the softmax? ✅ What is a cool new dataset for visual reasoning that I can use? ✅

Empirical thought experiments
Can flies smell word vectors?
Implementations and tools
Information extraction in Scala with Odin
Keras + Horovod = Distributed Deep Learning on Steroids
LMChallenge, a library & tools to evaluate predictive language models
Linguistics focused
Inaugural meeting SCIL
The Rise and Fall of the English Sentence
Just Google It: A Short History of a Newfound Verb
NLP Workshops 2018
The 2018 conference season is getting started; while not all conference websites for 2018 are available yet, some workshops have already been announced. If you’re interested at which conference your favourite workshop will take place or want to check out a new one, I’ve linked those that I found below:
Fake News
More than a Million Pro-Repeal Net Neutrality Comments were Likely Faked
The College Kids Doing What Twitter Won't
Twitter Has Suspended Another 45 Suspected Propaganda Accounts After They Were Flagged By BuzzFeed News
Talking about fake news… What else can’t we trust?
Right. Our models... (credit: Riva-Melissa Tez)
Right. Our models... (credit: Riva-Melissa Tez)
Bias, interpretability, and reproducability
Reflections on the meaningful understanding of the logic of automated decision-making by Eric Horvitz
Fairness Measures - Detecting Algorithmic Discrimination
Hooray for Hollywood? New tool reveals gender bias in movie scripts
Some Opinions on Reproducibility in ML
The Doctor Just Won’t Accept That!
More blog posts and articles
Helpful advice on how to conduct research from reddit
Expressivity, Trainability, and Generalization in Machine Learning
Understanding the Mixture of Softmaxes
Understanding Medical Conversations
Alexa Prize finalists
AI’s sharing economy: Why Microsoft creates publicly available datasets and metrics
Industry insights
The Mummy Effect: Bridging the gap between academia and industry
A Year After Pledging Openness, Apple Still Falls Behind On AI
Creative AI landscape
Paper picks
Question Asking as Program Generation (NIPS 2017)
MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks (NIPS 2017 Symposium on Interpretable Machine Learning)
Style Transfer in Text: Exploration and Evaluation (AAAI 2018)
Dataset spotlight
FigureQA: an annotated figure dataset for visual reasoning
The Self-dialogue Corpus
Fun and games
When your eyes look like ölő…
Google Translate glitch
Google Translate glitch
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