Dan Jurafsky

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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityAdresse e-mail validée de stanford.edu
James H. MartinProfessor of Computer Science, University of Colorado BoulderAdresse e-mail validée de colorado.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Jiwei LiShannon.AI, Zhejiang University, Stanford UniversityAdresse e-mail validée de stanford.edu
Andrew NgStanford UniversityAdresse e-mail validée de cs.stanford.edu
Nathanael ChambersAssociate Professor of Computer Science, US Naval AcademyAdresse e-mail validée de usna.edu
Daniel McFarlandProfessor of Education, Stanford UniversityAdresse e-mail validée de stanford.edu
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaAdresse e-mail validée de cs.mcgill.ca
Daniel GildeaProfessor of Computer Science, University of RochesterAdresse e-mail validée de cs.rochester.edu
Rion SnowUnaffiliatedAdresse e-mail validée de cs.stanford.edu
Eric Fosler-LussierJohn Makhoul Professor of Computer Science & Engineering, The Ohio State UniversityAdresse e-mail validée de cse.ohio-state.edu
Will MonroeResearch Scientist, DuolingoAdresse e-mail validée de cs.stanford.edu
Michelle GregoryElsevierAdresse e-mail validée de elsevier.com
Elizabeth ShribergCSO at Ellipsis Health, San FranciscoAdresse e-mail validée de ellipsishealth.com
James ZouStanford UniversityAdresse e-mail validée de stanford.edu
Rob VoigtAssistant Professor of Linguistics, Northwestern UniversityAdresse e-mail validée de northwestern.edu
Sameer Pradhancemantix.org and University of PennsylvaniaAdresse e-mail validée de cemantix.org
Andreas StolckeDistinguished AI Scientist, UniphoreAdresse e-mail validée de icsi.berkeley.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaAdresse e-mail validée de email.arizona.edu
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer ScienceAdresse e-mail validée de stanford.edu

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Dan Jurafsky

Professor of Linguistics and Computer Science, Stanford University

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

Natural Language Processing Speech Recognition Computational Linguistics Linguistics Computational Social Science


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition D Jurafsky, JH Martin Prentice Hall, 2000	17652	2000
Speech and language processing, 2nd edition D Jurafsky, JH Martin Prentice Hall, 2008	17162*	2008
Distant supervision for relation extraction without labeled data M Mintz, S Bills, R Snow, D Jurafsky Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009	3717	2009
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	3667	2021
Cheap and fast–but is it good? evaluating non-expert annotations for natural language tasks R Snow, B O’connor, D Jurafsky, AY Ng Proceedings of the 2008 conference on empirical methods in natural language …, 2008	2752	2008
Automatic Labeling of Semantic Roles D Gildea, D Jurafsky Computational Linguistics 28 (3), 245-288, 2002	2605	2002
Dialogue act modeling for automatic tagging and recognition of conversational speech A Stolcke, K Ries, N Coccaro, E Shriberg, R Bates, D Jurafsky, P Taylor, ... Computational linguistics 26 (3), 339-373, 2000	1645	2000
Deep reinforcement learning for dialogue generation J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky Proceedings of 2016 Conference on Empirical Methods in Natural Language …, 2016	1600	2016
Word embeddings quantify 100 years of gender and ethnic stereotypes N Garg, L Schiebinger, D Jurafsky, J Zou Proceedings of the National Academy of Sciences 115 (16), E3635-E3644, 2018	1262	2018
Diachronic word embeddings reveal statistical laws of semantic change WL Hamilton, J Leskovec, D Jurafsky Proceedings of the 2016 Association for Computational Linguistics (ACL 2016 …, 2016	1246	2016
Adversarial learning for neural dialogue generation J Li, W Monroe, T Shi, S Jean, A Ritter, D Jurafsky Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	1127	2017
Learning syntactic patterns for automatic hypernym discovery R Snow, D Jurafsky, A Ng Advances in neural information processing systems 17, 2004	1028	2004
Probabilistic Relations between Words: Evidence from reduction in lexical production D Jurafsky, A Bell, M Gregory, WD Raymond Frequency and the emergence of linguistic structure, 229-254, 2001	929	2001
The diversity–innovation paradox in science B Hofstra, VV Kulkarni, S Munoz-Najar Galvez, B He, D Jurafsky, ... Proceedings of the National Academy of Sciences 117 (17), 9284-9291, 2020	878	2020
Visualizing and understanding neural models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015	841	2015
Predictability effects on durations of content and function words in conversational English A Bell, JM Brenier, M Gregory, C Girand, D Jurafsky Journal of Memory and Language 60 (1), 92-111, 2009	836	2009
Unsupervised learning of narrative event chains N Chambers, D Jurafsky Proceedings of ACL-08: HLT, 789-797, 2008	809	2008
A probabilistic model of lexical and syntactic access and disambiguation D Jurafsky Cognitive science 20 (2), 137-194, 1996	795	1996
Universal tendencies in the semantics of the diminutive D Jurafsky Language, 533-578, 1996	789	1996
A hierarchical neural autoencoder for paragraphs and documents J Li, MT Luong, D Jurafsky Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	741	2015

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