Natural Language Processing

Conferences

Text as Data 2014 at Kellogg:  October 10-11, 2014, here

Other resources:

Deep Learning

Two tutorials fro NAACL 2013 by Manning and Socher:  http://nlp.stanford.edu/courses/NAACL2013/

and here is a link to Socher’s Dissertation: Recursive Deep Learning For Natural Language Processing and Computer Vision

Topic Models

Two lectures by David Blei of Princeton at the Machine Learning Summer School (MLSS), Cambridge, 2009:    http://videolectures.net/mlss09uk_blei_tm/

Courses in NLP

at Coursera with Dan Jurafsky and Christopher Manning:  www.coursera.org/course/nlp.

another one at Coursera with Michael Collins from Columbia: www.coursera.org/course/nlangp

Online Lectures at IIT Bombay with  Pushpak Bhattacharyya:  here .  I haven’t gone through this but the introduction on NLP and how it fits into Logic, Knowledge Representation and Machine Learning is brilliant.

from Pushpak Bhattacharyya's NLP lectures

 

Here is his first lecture: First course

Other Resources 

Vector representations of words from Google: (thank you, Google) : code.google.com/p/word2vec/

Global Vectors for Word Representation: GloVe Stanford University NLP

A blog post about the differences: http://radimrehurek.com/2014/12/making-sense-of-word2vec/

 

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