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🌻The Best and Most Current of Modern Natural Language Processing

Victor Sanh
May 22, 2019 · 7 min read

“Which papers can I read to catch up with the latest trends in modern NLP?”

A few weeks ago, a friend of mine decided to dive in into NLP. He already has a background in Machine Learning and Deep Learning so he genuinely asked me: “Which papers can I read to catch up with the latest trends in modern NLP?”. 👩‍🎓👨‍🎓



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Who said that naming models should be boring and sad? — Source: Moviefone

🌊 A new paradigm: Transfer Learning

These references cover the foundational ideas in Transfer Learning for NLP:

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The Transformer architecture has become ubiquitous in sequence modeling tasks. — Source: Attention is all you need

🖼 Representation Learning:

🗣 Neural Dialogue:

🍱 Various picks:

🌍 General resources

There are plenty of amazing resources available you can use that are not necessarily papers. Here are a few:


🎅 Last advice

That’s it for the pointers! Reading a few of these resources should already give you a good sense of the latest trends in contemporary NLP and hopefully, help you build your own NLP system! 🎮


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