Archive | Natural Language Processing

Differentiable Dynamic Programs and SparseMAP Inference

Two exciting NLP papers at ICML 2018! ICML 2018 accepts are out, and I am excited about two papers that I will briefly outline here. I think both papers are phenomenally good and will bring back structured prediction in NLP to modern deep learning architectures. Differentiable Dynamic Programming for Structured Prediction and Attention Arthur Mensch […]

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The Two Tribes of Language Researchers

TL;DR not-a-rant rant When I talk to friends who work on human language (#nlproc), I notice two tribes of people. These are folks who do Natural Language Processing and folks who do Computational Linguistics. This distinction is not mine and is blurry, but I think it explains some of the differences in values different researchers […]

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A Billion Words and The Limits of Language Modeling

In this post, I will talk about Language Models, when (and when not) to use LSTMs for language modeling, and some state of the art results. While I mostly discuss the “Exploring Limits” paper, I’m adding a few things elementary (for some) here for completeness sake. The Exploring Limits paper is not new, but I think it’s a good illustration […]

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