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jurafsky@stanford.edu Margaret Jacks 117 Stanford CA 94305-2150 BIO TWITTER: @jurafsky CV STUDENTS NLP group WHERE'S DAN? LANGUAGE OF FOOD blog class articles PRESS |
TEACHING SPRING 2020 CS 384: Seminar on Social and Ethical Issues in Natural Language Processing Tu 4:30-6:20 on Zoom. WINTER 2020 cs124/ling180: From Languages to Information Tu/Thu 3:00-4:20 Hewlett 200 ling197a: Undergrad Capstone Seminar Fri 12:30pm-2:20pm, Ivan A. Sag Room AUTUMN 2019 ling294: Grad Proseminar Fri 10:30-11:20am, Ivan A. Sag Room ------------- Previous Courses ------------- OTHER MATERIALS CS124: YouTube lecture videos 2012 NLP MOOC w/Chris Manning: Youtube channel lecture videos Slides |
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3rd edn. draft chapters! Speech and Language Processing Dan Jurafsky and James H. Martin |
 James Beard Award Nominee! |
2020 ARTICLES [ALL PUBS] [GOOGLE SCHOLAR]
Heidi Chen, Emma Pierson, Sonja Schmer-Galunder, Jonathan Altamirano, Dan Jurafsky, Jure Leskovec, Magali Fassiotto, and Nishita Kothary. 2020. Gender differences in patient perceptions of physicians' communal traits and the impact on physician evaluations. Journal of Women's Health, 2020.
Turnwald, B.P., Anderson, K.G., Jurafsky, D., and Crum, A.J. (2020). Five-star prices, appealing healthy item descriptions? Expensive restaurants' descriptive menu language. Health Psychology. [pdf]
Li Lucy, Dora Demszky, Patricia Bromley, Dan Jurafsky. 2020. Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas U.S. History Textbooks. AERA Open 2020. [pdf]
Julia Mendelsohn, Yulia Tsvetkov and Dan Jurafsky. 2020. A framework for the computational linguistic analysis of dehumanization. Frontiers in Artificial Intelligence. [pdf].
Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky. 2020. Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL 2020.
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A Smith and Yejin Choi. 2020. Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL (2020)
Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, and Nigam H. Shah. 2020. Assessing the accuracy of automatic speech recognition for psychotherapy. npj Digital Medicine 3, 82 (2020).
Bas Hofstra, Vivek V. Kulkarni, Sebastian Munoz-Najar Galvez, Bryan He, Dan Jurafsky, and Daniel A. McFarland. 2020. The Diversity-Innovation Paradox in Science. Proceedings of the National Academy of Sciences. [pdf]
Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John Rickford, Dan Jurafsky, and Sharad Goel. 2020. Racial Disparities in Automated Speech Recognition. Proceedings of the National Academy of Sciences 117 (14) 7684-7689. [pdf] [Press: NY Times]
Michael Hahn, Dan Jurafsky, and Richard Futrell. 2020. Universals of word order reflect optimization of grammars for efficient communication. Proceedings of the National Academy of Sciences 117 (5) 2347-2353. [pdf] [bib] [code]
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer and Mike Lewis. 2020. Generalization through Memorization: Nearest Neighbor Language Models. International Conference on Learning Representations (ICLR), 2020. [pdf] [code]
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang. 2020. Automatically Neutralizing Subjective Bias in Text. AAAI, 2020 [pdf] [code]