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There is a great set of lectures by Dan Jurafsky and Chris Manning: https://www.youtube.com/watch?v=nfoudtpBV68&list=PL6397E4B26D00A269 https://www.youtube.com/
by theCricketer 10y ago
There is a great set of lectures by Dan Jurafsky and Chris Manning:
https://www.youtube.com/watch?v=nfoudtpBV68&list=PL6397E4B26D00A269 https://www.youtube.com/watch?v=nfoudtpBV68&list=PL6397E4B26...
It would be helpful to have some background in Machine Learning. For a good introductory course with a mix of mathematical background, see https://see.stanford.edu/Course/CS229 https://see.stanford.edu/Course/CS229
NLP in the more modern systems is backed by deep neural nets. Here's a course on NLP using deep learning:
https://www.youtube.com/playlist?list=PLIiVRB6G_w0i-uOoS6cDh_5nkUyxy_hxe https://www.youtube.com/playlist?list=PLIiVRB6G_w0i-uOoS6cDh...
- Eridrus 10y agoAny suggestions for a follow on to 224D? Anything with larger systems would be interesting
- danieldk 10y agoJurafsky & Martin's book is pretty much the standard work on NLP. They are currently working on a 3rd edition and the draft chapters are available from the book's web page: https://web.stanford.edu/~jurafsky/slp3/ https://web.stanford.edu/~jurafsky/slp3/