[theCricketer]

I took this class and can vouch for it. They update the class every year to go over recent research - not an easy task in such a fast moving field. For example, this offering covers the Transformer architecture which has recently been used to obtain state of the art results across a wide range of NLP tasks.

[pattusk]

Tangentially related if you're interested in keeping up to date with what's going on in the field:

Sebastian Ruder's blog has many good posts on recent advancements in NLP (literature reviews, conference highlights): http://ruder.io/

The posts are concise and accessible enough that you can skim through them quickly. Then you can go check out the paper directly if something piques your interest.

[phowon]

I know this talking point has been brought up by different people, but it's worth pointing out that Transformers were already covered in the class in 2018. https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1184...

[roadbeats]

Are you a student at Stanford ? I was wondering if I can join just for this course...

[theCricketer]

The videos from the winter 2017 offering are freely available on YouTube.

https://www.youtube.com/playlist?list=PLqdrfNEc5QnuV9RwUAhoJ...

The assignments are at the class webpage too.

[ivansavz]

And this is the 2019 playlist: https://www.youtube.com/watch?v=8rXD5-xhemo&list=PLoROMvodv4...

Quote from course page: "This year, CS224n will be taught for the first time using PyTorch rather than TensorFlow (as in previous years)."