Christopher D Manning - Google Académico

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Richard SocherChief Scientist at SalesforceDirección de correo verificada de stanford.edu
Andrew NgStanford UniversityDirección de correo verificada de cs.stanford.edu
Marie-Catherine de MarneffeAssociate Professor, Linguistics, The Ohio State UniversityDirección de correo verificada de ling.ohio-state.edu
Kristina ToutanovaGoogle ResearchDirección de correo verificada de google.com
Jenny Rose FinkelDirección de correo verificada de cs.stanford.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaDirección de correo verificada de email.arizona.edu
Prabhakar RaghavanGoogleDirección de correo verificada de google.com
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityDirección de correo verificada de stanford.edu
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer Science, and Director of CSLIDirección de correo verificada de stanford.edu
David McCloskyGoogleDirección de correo verificada de cs.stanford.edu
Jason Chuang.Dirección de correo verificada de cs.stanford.edu
Bill MacCartneySenior Research Scientist, GoogleDirección de correo verificada de cs.stanford.edu
Minh-Thang LuongSenior Research Scientist at GoogleDirección de correo verificada de google.com
Daniel RamageGoogle ResearchDirección de correo verificada de google.com
Gabor AngeliCTO @ Eloquent LabsDirección de correo verificada de cs.stanford.edu
Daniel CerGoogle AI LanguageDirección de correo verificada de google.com
Angel ChangSimon Fraser UniversityDirección de correo verificada de cs.stanford.edu
Jeffrey PenningtonGoogle BrainDirección de correo verificada de google.com
Michel GalleyPrincipal Researcher at MicrosoftDirección de correo verificada de acm.org
Danqi ChenPrinceton UniversityDirección de correo verificada de cs.princeton.edu

Christopher D Manning

Professor of Computer Science and Linguistics, Stanford University

Dirección de correo verificada de stanford.edu - Página principal

Natural Language Processing Computational Linguistics Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Introduction to Information Retrieval CD Manning, P Raghavan, H Schütze Cambridge: Cambridge University Press, 2008	32171*	2008
Introduction to information retrieval CD Manning, P Raghavan, H Schütze Cambridge University Press, Cambridge, 2008	21020*	2008
Introduction to Information Retrieval CD Manning, P Raghavan, Schütze Cambridge, England: Cambridge University Press, 2008	18582*	2008
Glove: Global vectors for word representation J Pennington, R Socher, CD Manning Proceedings of the 2014 conference on empirical methods in natural language …, 2014	15122	2014
Foundations of statistical natural language processing CD Manning, H Schütze Cambridge, MA: MIT Press, 1999	14327	1999
Foundations of Statistical Natural Language Processing C Manning, H Schütze Cambridge, MA: The MIT Press, 1999	13801	1999
The Stanford CoreNLP Natural Language Processing Toolkit CD Manning, M Surdeanu, J Bauer, J Finkel, SJ Bethard, D McClosky ACL Demonstrations, 2014	5167	2014
Recursive deep models for semantic compositionality over a sentiment treebank R Socher, A Perelygin, J Wu, J Chuang, CD Manning, AY Ng, C Potts Proceedings of the 2013 conference on empirical methods in natural language …, 2013	4121	2013
Effective approaches to attention-based neural machine translation MT Luong, H Pham, CD Manning Empirical Methods in Natural Language Processing, 1412-1421, 2015	4065	2015
Feature-rich part-of-speech tagging with a cyclic dependency network K Toutanova, D Klein, CD Manning, Y Singer Proceedings of the 2003 conference of the North American chapter of the …, 2003	3572	2003
Accurate unlexicalized parsing D Klein, CD Manning Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003	3556	2003
Incorporating non-local information into information extraction systems by Gibbs sampling JR Finkel, T Grenager, C Manning Proceedings of the 43rd annual meeting on association for computational …, 2005	3273	2005
Generating typed dependency parses from phrase structure parses MC De Marneffe, B MacCartney, CD Manning Proceedings of the 5th International Conference on Language Resources and …, 2006	2712	2006
Improved semantic representations from tree-structured long short-term memory networks KS Tai, R Socher, CD Manning Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	1965	2015
A fast and accurate dependency parser using neural networks D Chen, CD Manning Proceedings of the 2014 conference on empirical methods in natural language …, 2014	1562	2014
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora D Ramage, D Hall, R Nallapati, CD Manning Proceedings of the 2009 conference on empirical methods in natural language …, 2009	1382	2009
A large annotated corpus for learning natural language inference SR Bowman, G Angeli, C Potts, CD Manning Empirical Methods in Natural Language Processing (EMNLP 2015). arXiv …, 2015	1363	2015
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions R Socher, J Pennington, EH Huang, AY Ng, CD Manning Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011	1310	2011
Parsing natural scenes and natural language with recursive neural networks R Socher, CCY Lin, AY Ng, CD Manning International Conference in Machine Learning, 2011	1300	2011
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger K Toutanova, C Manning Proceedings of the 2000 Joint SIGDAT Conference EMNLP/VLC, 63-71, 2000, 2000	1290	2000

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