Christopher Manning
homepage:http://nlp.stanford.edu/~manning/
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Description

Christopher Manning works on systems and formalisms that can intelligently process and produce human languages. His research concentrates on probabilistic models of language and statistical natural language processing, information extraction, text understanding and text mining, constraint-based theories of grammar (HPSG and LFG) and probabilistic extensions of them, syntactic typology, computational lexicography (involving work in XML, XSL, and information visualization), and other topics in computational linguistics and machine learning. Together with Dan Klein, he received the ACL 2003 best paper award.

Associate Professor Stanford University Depts of Linguistics and Computer Science 2006-


Lectures:

votesvotesvotesvotesvotes [syn]  19285 views, 1:28:23  
tutorial
flag NLP and Deep Learning 1: Human Language & Word Vectors
as author at  Deep Learning Summer School, Montreal 2015,
19285 views
 
votesvotesvotesvotesvotes [syn]  8913 views, 1:25:18  
tutorial
flag NLP and Deep Learning 2: Compositional Deep Learning
as author at  Deep Learning Summer School, Montreal 2015,
8913 views
votesvotesvotesvotesvotes 6038 views, 30:44  
lecture
flag Clustering the Tagged Web
as author at  Second ACM International Conference on Web Search and Data Mining - WSDM 2009,
together with: Hector Garcia-Molina, Paul Heymann, Daniel Ramage,
6038 views
 
[syn]  5772 views, 46:39  
lecture
flag Unsupervised Learning of Syntactic Structure
as author at  Workshop on Machine Learning and Cognitive Science of Language Acquisition, London 2007,
5772 views
[syn]  3314 views, 40:50  
lecture
flag Machine Learning of Language from Distributional Evidence
as author at  MIT World Series: Where Does Syntax Come From? Have We All Been Wrong?,
3314 views