Christopher D Manning

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Richard Socheryou.comAdresse e-mail validée de stanford.edu
Andrew NgStanford UniversityAdresse e-mail validée de cs.stanford.edu
Marie-Catherine de MarneffeFNRS - UCLouvain - The Ohio State UniversityAdresse e-mail validée de uclouvain.be
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer ScienceAdresse e-mail validée de stanford.edu
Kristina ToutanovaGoogle DeepMindAdresse e-mail validée de google.com
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Jenny Rose FinkelAdresse e-mail validée de cs.stanford.edu
Prabhakar RaghavanGoogleAdresse e-mail validée de google.com
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaAdresse e-mail validée de email.arizona.edu
Minh-Thang LuongSenior Staff Research Scientist at GoogleAdresse e-mail validée de google.com
Jeffrey PenningtonGoogle BrainAdresse e-mail validée de google.com
Jason Chuang.Adresse e-mail validée de cs.stanford.edu
Gabor AngeliGoogleAdresse e-mail validée de cs.stanford.edu
Hinrich SchützeUniversity of MunichAdresse e-mail validée de cis.lmu.de
Peng QiResearcher, Orby AIAdresse e-mail validée de orby.ai
David McCloskyQuantAQ Inc.Adresse e-mail validée de cs.stanford.edu
Daniel RamageGoogle ResearchAdresse e-mail validée de google.com
Kevin ClarkStanford UniversityAdresse e-mail validée de cs.stanford.edu
Bill MacCartneyVP Engineering | Machine Learning, CohereAdresse e-mail validée de cs.stanford.edu
Danqi ChenPrinceton UniversityAdresse e-mail validée de cs.princeton.edu

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Christopher D Manning

Professor of Computer Science and Linguistics, Stanford University

Adresse e-mail validée de stanford.edu - Page d'accueil

Natural Language Processing Computational Linguistics Deep Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
GloVe: Global vectors for word representation J Pennington, R Socher, CD Manning Proceedings of the 2014 conference on empirical methods in natural language …, 2014	42683	2014
Introduction to information retrieval CD Manning, P Raghavan, H Schütze Cambridge: Cambridge University Press, 2008	30080*	2008
Introduction to Information Retrieval CD Manning, P Raghavan, H Schütze Cambridge: Cambridge University Press, 2008	18220*	2008
Foundations of Statistical Natural Language Processing CD Manning, H Schütze Cambridge, MA: MIT Press, 1999	17639	1999
Effective approaches to attention-based neural machine translation MT Luong, H Pham, CD Manning Empirical Methods in Natural Language Processing, 1412-1421, 2015	10837	2015
The Stanford CoreNLP Natural Language Processing Toolkit CD Manning, M Surdeanu, J Bauer, J Finkel, SJ Bethard, D McClosky ACL Demonstrations, 2014	9526	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 2013 Conference on Empirical Methods in Natural Language Processing, 1631-1642, 2013	9421	2013
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	4861	2015
Feature-rich part-of-speech tagging with a cyclic dependency network K Toutanova, D Klein, CD Manning, Y Singer Proceedings of the 2003 human language technology conference of the north …, 2003	4510	2003
Electra: Pre-training text encoders as discriminators rather than generators K Clark, MT Luong, QV Le, CD Manning International Conference on Learning Representations (ICLR) [arXiv preprint …, 2020	4244	2020
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	4220	2005
Improved semantic representations from tree-structured long short-term memory networks KS Tai, R Socher, CD Manning ACL 2015 [arXiv:1503.00075] Proceedings of the 53rd Annual Meeting of the …, 2015	4112	2015
Accurate unlexicalized parsing D Klein, CD Manning Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003	4078	2003
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	3785	2021
Get to the point: Summarization with pointer-generator networks A See, PJ Liu, CD Manning ACL 2017 (arXiv preprint arXiv:1704.04368), 2017	3610	2017
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	3169	2006
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	2515	2014
Reasoning with neural tensor networks for knowledge base completion R Socher, D Chen, CD Manning, A Ng Advances in neural information processing systems 26, 2013	2482	2013
HotpotQA: A dataset for diverse, explainable multi-hop question answering Z Yang, P Qi, S Zhang, Y Bengio, WW Cohen, R Salakhutdinov, ... Empirical Methods in Natural Language Processing (EMNLP) [arXiv preprint …, 2018	2033	2018
Advances in natural language processing J Hirschberg, CD Manning Science 349 (6245), 261-266, 2015	1992	2015

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