Dan Jurafsky

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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityPatvirtintas el. paštas stanford.edu
James H. MartinProfessor of Computer Science, University of Colorado BoulderPatvirtintas el. paštas colorado.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Jiwei LiShannon.AI, Zhejiang University, Stanford UniversityPatvirtintas el. paštas stanford.edu
Andrew NgStanford UniversityPatvirtintas el. paštas cs.stanford.edu
Daniel McFarlandProfessor of Education, Stanford UniversityPatvirtintas el. paštas stanford.edu
Nathanael ChambersProfessor of Computer Science, US Naval AcademyPatvirtintas el. paštas usna.edu
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaPatvirtintas el. paštas cs.mcgill.ca
Michelle GregoryElsevierPatvirtintas el. paštas elsevier.com
Kadri HaciogluPrincipal AI ScientistPatvirtintas el. paštas uniphore.com
Daniel GildeaProfessor of Computer Science, University of RochesterPatvirtintas el. paštas cs.rochester.edu
Rion SnowUnaffiliatedPatvirtintas el. paštas cs.stanford.edu
James ZouStanford UniversityPatvirtintas el. paštas stanford.edu
Will MonroeResearch Scientist, DuolingoPatvirtintas el. paštas cs.stanford.edu
Rob VoigtAssistant Professor of Linguistics, Northwestern UniversityPatvirtintas el. paštas northwestern.edu
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer SciencePatvirtintas el. paštas stanford.edu
Eric Fosler-LussierJohn Makhoul Professor of Computer Science & Engineering, The Ohio State UniversityPatvirtintas el. paštas cse.ohio-state.edu
Elizabeth ShribergChief Science Officer, Ellipsis HealthPatvirtintas el. paštas ellipsishealth.com
Sameer Pradhancemantix.org and University of PennsylvaniaPatvirtintas el. paštas cemantix.org
Andreas StolckeDistinguished AI Scientist, UniphorePatvirtintas el. paštas icsi.berkeley.edu

Stebėti

Dan Jurafsky

Professor of Linguistics and Computer Science, Stanford University

Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis

Natural Language Processing Speech Recognition Computational Linguistics Linguistics Computational Social Science


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition D Jurafsky, JH Martin Prentice Hall, 2000	18766*	2000
Speech and language processing, 2nd edition D Jurafsky, JH Martin Prentice Hall, 2008	18247*	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	5061	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	3831	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	2803	2008
Automatic Labeling of Semantic Roles D Gildea, D Jurafsky Computational Linguistics 28 (3), 245-288, 2002	2623	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	1676	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	1674	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	1388	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	1333	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	1157	2017
Learning syntactic patterns for automatic hypernym discovery R Snow, D Jurafsky, A Ng Advances in neural information processing systems 17, 2004	1048	2004
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	1014	2020
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, 2008	933	2008
Generalization through memorization: Nearest neighbor language models U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis arXiv preprint arXiv:1911.00172, 2019	900	2019
Visualizing and understanding neural models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015	879	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	878	2009
Unsupervised learning of narrative event chains N Chambers, D Jurafsky Proceedings of ACL-08: HLT, 789-797, 2008	836	2008
Universal tendencies in the semantics of the diminutive D Jurafsky Language, 533-578, 1996	816	1996
A probabilistic model of lexical and syntactic access and disambiguation D Jurafsky Cognitive science 20 (2), 137-194, 1996	803	1996

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