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.
Natural Language Processing with Deep Learning
11–20 of 31 posts
Re: Natural Language Processing with Deep Learning
#12I 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.
Are you a student at Stanford ? I was wondering if I can join just for this course...
Re: Natural Language Processing with Deep Learning
#13I 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.
Are you a student at Stanford ? I was wondering if I can join just for this course...
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.
Re: Natural Language Processing with Deep Learning
#14Is there a good course for standalone Natural Language Processing? I came across MIT OCW’s Advanced NLP - https://ocw.mit.edu/courses/electrical-engineering-and-compu... , but does someone has a similar or a better standalone NLP course in mind? From MIT OCW, Stanford , Coursera, Udacity, et al? I am very much interested. Could be free or paid. Even PDF’s of lecture notes could do. Edit - Found one standalone NLP cou…
Stanford NLP course by Manning and Jurafsky is a go-to for me.
https://www.youtube.com/watch?v=3Dt_yh1mf_U&list=PLQiyVNMpDL...
Re: Natural Language Processing with Deep Learning
#15Is there a good course for standalone Natural Language Processing? I came across MIT OCW’s Advanced NLP - https://ocw.mit.edu/courses/electrical-engineering-and-compu... , but does someone has a similar or a better standalone NLP course in mind? From MIT OCW, Stanford , Coursera, Udacity, et al? I am very much interested. Could be free or paid. Even PDF’s of lecture notes could do. Edit - Found one standalone NLP cou…
Stanford NLP course by Manning and Jurafsky is a go-to for me. https://www.youtube.com/watch?v=3Dt_yh1mf_U&list=PLQiyVNMpDL...
Thanks for this :)
Re: Natural Language Processing with Deep Learning
#16Chris Manning is responsible for so much work in this field. I can't wait to go through this video series. Thanks for all your hard work and I want you to know how much it's appreciated.
Re: Natural Language Processing with Deep Learning
#17[deleted]
Re: Natural Language Processing with Deep Learning
#18Earlier quoted context omitted.
Unfortunately the videos for this course won't be made available until after the course has finished.
https://youtu.be/8rXD5-xhemo
Thanks for the link, just subscribed.
Years ago I took Chris Manning and Dan Jurafsky‘s Coursera NLP class and it was excellent. I also own, I think, every book they have written including Jurafsky’s book on food.
It is extremely generous of top universities to make their classes available online. Of course, watching the videos and trying the homework assignments on one’s own is not the experience of going to Stanford, but it is less expensive!
Re: Natural Language Processing with Deep Learning
#19Good textbook links in the class description. PDFs can be downloaded.
Re: Natural Language Processing with Deep Learning
#20I 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.
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.