Text as Data 2014 at Kellogg: October 10-11, 2014, here
- Association for Computational Linguistics: http://www.aclweb.org
- North American ACL: http://naacl.org
- KDD: http://www.kdd.org
Two tutorials fro NAACL 2013 by Manning and Socher: http://nlp.stanford.edu/courses/NAACL2013/
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.
Here is his first lecture: First course
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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