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> This seems like a very important paper > mark_l_watson Hah, I'll take your word for it, then. :) Are there any recent comprehensive monographs you'd recomme

by jakub_h 10y ago

> This seems like a very important paper > mark_l_watson Hah, I'll take your word for it, then. :) Are there any recent comprehensive monographs you'd recommend for state-of-the-art NPL, for someone who has yet to enter the field?

arnsholt 10y ago
Monographs aren't really a thing in NLP, beyond theses. There are a couple of reference books most people lean on, though: * Foundations of Statistical Natural Language Processing by Manning and Schütze * Speech and Language Processing by Jurafsky and Martin (which is being revised for a third edition, which you can look at: https://web.stanford.edu/~jurafsky/slp3/ https://web.stanford.edu/~jurafsky/slp3/ ) Beyond that, you're basically stuck reading the research literature. On the up-side, most of that literature is freely available from the ACL anthology at http://aclweb.org/anthology/ http://aclweb.org/anthology/
- jakub_h 10y ago
  Thank you very much. I'm aware of a large number of books that I could read, but if Sturgeon's law applies, or at least if a lot of the reading would be redundant anyway, I'll rather ask for pointers than to waste a lot of time by rediscovering the wheel. Basically, what I was asking for was the NLP's respected equivalent of Norvig and Russell, or similar books from other fields. Those two books seem to fit to bill.
mark_l_watson 10y ago
If you have the time, I would start by taking Andrew Ng's machine learning class and then this NLP class when it is next offered in September 2016 https://www.coursera.org/learn/nlp https://www.coursera.org/learn/nlp
- jakub_h 10y ago
  > Andrew Ng's machine learning class Ah yes, the one I've heard about but still have to take. :) Well, I guess I should give Coursesa a chance. (Somehow I'm not fond of their "timelined" format, it seems redundant if you're communicating with a machine. I hope the future of online learning will avoid it like the plague.)

by jakub_h 10y ago

arnsholt 10y ago

Monographs aren't really a thing in NLP, beyond theses. There are a couple of reference books most people lean on, though: * Foundations of Statistical Natural Language Processing by Manning and Schütze * Speech and Language Processing by Jurafsky and Martin (which is being revised for a third edition, which you can look at: https://web.stanford.edu/~jurafsky/slp3/ https://web.stanford.edu/~jurafsky/slp3/ ) Beyond that, you're basically stuck reading the research literature. On the up-side, most of that literature is freely available from the ACL anthology at http://aclweb.org/anthology/ http://aclweb.org/anthology/

jakub_h 10y ago
Thank you very much. I'm aware of a large number of books that I could read, but if Sturgeon's law applies, or at least if a lot of the reading would be redundant anyway, I'll rather ask for pointers than to waste a lot of time by rediscovering the wheel. Basically, what I was asking for was the NLP's respected equivalent of Norvig and Russell, or similar books from other fields. Those two books seem to fit to bill.

mark_l_watson 10y ago

If you have the time, I would start by taking Andrew Ng's machine learning class and then this NLP class when it is next offered in September 2016 https://www.coursera.org/learn/nlp https://www.coursera.org/learn/nlp

jakub_h 10y ago
> Andrew Ng's machine learning class Ah yes, the one I've heard about but still have to take. :) Well, I guess I should give Coursesa a chance. (Somehow I'm not fond of their "timelined" format, it seems redundant if you're communicating with a machine. I hope the future of online learning will avoid it like the plague.)