Dan Jurafsky
Dan Jurafsky
Professor of Linguistics and Computer Science, Stanford University
Verified email at - Homepage
Cited by
Cited by
Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition
D Jurafsky, JH Martin
Prentice Hall, 2000
Speech and language processing, 2nd edition
D Jurafsky, JH Martin
Prentice Hall, 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
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
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
Automatic Labeling of Semantic Roles
D Gildea, D Jurafsky
Computational Linguistics 28 (3), 245-288, 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
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
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
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
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
Learning syntactic patterns for automatic hypernym discovery
R Snow, D Jurafsky, A Ng
Advances in neural information processing systems 17, 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
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
Visualizing and understanding neural models in NLP
J Li, X Chen, E Hovy, D Jurafsky
arXiv preprint arXiv:1506.01066, 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
Unsupervised learning of narrative event chains
N Chambers, D Jurafsky
Proceedings of ACL-08: HLT, 789-797, 2008
A probabilistic model of lexical and syntactic access and disambiguation
D Jurafsky
Cognitive science 20 (2), 137-194, 1996
Universal tendencies in the semantics of the diminutive
D Jurafsky
Language, 533-578, 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
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