Dan Jurafsky

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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
James H. MartinProfessor of Computer Science, University of Colorado BoulderVerified email at colorado.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jiwei LiShannon.AI, Zhejiang University, Stanford UniversityVerified email at stanford.edu
Andrew NgStanford UniversityVerified email at cs.stanford.edu
Nathanael ChambersAssociate Professor of Computer Science, US Naval AcademyVerified email at usna.edu
Daniel McFarlandProfessor of Education, Stanford UniversityVerified email at stanford.edu
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaVerified email at cs.mcgill.ca
Daniel GildeaProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Rion SnowUnaffiliatedVerified email at cs.stanford.edu
Eric Fosler-LussierJohn Makhoul Professor of Computer Science & Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
James ZouStanford UniversityVerified email at stanford.edu
Will MonroeResearch Scientist, DuolingoVerified email at cs.stanford.edu
Rob VoigtAssistant Professor of Linguistics, Northwestern UniversityVerified email at northwestern.edu
Michelle GregoryElsevierVerified email at elsevier.com
Elizabeth ShribergCSO at Ellipsis Health, San FranciscoVerified email at ellipsishealth.com
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer ScienceVerified email at stanford.edu
Sameer Pradhancemantix.org and University of PennsylvaniaVerified email at cemantix.org
Andreas StolckeDistinguished AI Scientist, UniphoreVerified email at icsi.berkeley.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaVerified email at email.arizona.edu

Dan Jurafsky

Professor of Linguistics and Computer Science, Stanford University

Verified email at stanford.edu - Homepage

Natural Language Processing Speech Recognition Computational Linguistics Linguistics Computational Social Science


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Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition D Jurafsky, JH Martin Prentice Hall, 2000	18048	2000
Speech and language processing, 2nd edition D Jurafsky, JH Martin Prentice Hall, 2008	17535*	2008
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	4102	2021
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	3760	2009
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	2776	2008
Automatic Labeling of Semantic Roles D Gildea, D Jurafsky Computational Linguistics 28 (3), 245-288, 2002	2617	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	1662	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	1619	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	1315	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	1277	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	1135	2017
Learning syntactic patterns for automatic hypernym discovery R Snow, D Jurafsky, A Ng Advances in neural information processing systems 17, 2004	1033	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	934	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	920	2020
Visualizing and understanding neural models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015	855	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	849	2009
Unsupervised learning of narrative event chains N Chambers, D Jurafsky Proceedings of ACL-08: HLT, 789-797, 2008	818	2008
A probabilistic model of lexical and syntactic access and disambiguation D Jurafsky Cognitive science 20 (2), 137-194, 1996	804	1996
Universal tendencies in the semantics of the diminutive D Jurafsky Language, 533-578, 1996	798	1996
Generalization through memorization: Nearest neighbor language models U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis arXiv preprint arXiv:1911.00172, 2019	787	2019

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