DAN JURAFSKY
Professor and Chair of Linguistics
Professor of Computer Science
Stanford University
        I study computational linguistics (natural language processing) and its application to the behavioral and social sciences. I am a past MacArthur Fellow and also write and teach about the language of food.


jurafsky(at)stanford.edu
Margaret Jacks 117
Stanford CA 94305-2150

TWITTER: @jurafsky

NEXT OFFICE HOURS
Tues Nov 7 11-12

BIO

CV

STUDENTS

NLP group

WHERE'S DAN?

LANGUAGE OF FOOD
   blog
   class
   articles

PRESS





















   
TEACHING   

SPRING 2017
Think 53: Food Talks: The Language of Food
Tu/Thu 1:30-2:20, 420-040

WINTER 2017
cs124/ling180:
From Languages to Information

Tu/Thu 3:00-4:20 420-040

ling197a: Undergrad Capstone Seminar
Fri 12:30pm-2:20pm, Ivan A. Sag Room

AUTUMN 2016
ling294: Grad Proseminar
Fri 10:30-11:20am, Ivan A. Sag Room

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Previous Courses

MATERIALS
Instructor Materials for
the online NLP MOOC



































BOOKS

3rd edn. draft chapters!
Speech and Language Processing
Dan Jurafsky and James H. Martin

James Beard Award
Nominee!


2017 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

David Jurgens, Yulia Tsvetkov, and Dan Jurafsky. 2017. Writer Profiling Without the Writer's Text. Proceedings of the 9th International Conference on Social Informatics (SocInfo). [pdf preprint]

Jiwei Li, Will Monroe, Tianlin Shi, Sebastien Jean, Alan Ritter and Dan Jurafsky. 2017. Adversarial Learning for Neural Dialogue Generation. To appear in Proceedings of EMNLP 2017.

Jiwei Li and Dan Jurafsky. 2017. Neural Net Models of Open-Domain Discourse Coherence. To appear in Proceedings of EMNLP 2017.

Rob Voigt, Nicholas P. Camp, Vinodkumar Prabhakaran, William L. Hamilton, Rebecca C. Hetey, Camilla M. Griffiths, David Jurgens, Dan Jurafsky, and Jennifer L. Eberhardt. 2017. Language from police body camera footage shows racial disparities in officer respect. PNAS.

Reid Pryzant, Young-joo Chung, Dan Jurafsky. 2017. Predicting Sales from the Language of Product Descriptions. SIGIR eCom.

Grace Muzny, Mark Algee-Hewitt, and Dan Jurafsky. 2017. Dialogism in the novel: A computational model of the dialogic nature of narration and quotations. Digital Scholarship in the Humanities.

David Jurgens, Yulia Tsvetkov, and Dan Jurafsky. 2017. Incorporating Dialectal Variability for Socially Equitable Language Identification. To appear in Proceedings of ACL 2017, Vancouver. [pdf]

Brad Turnwald, Dan Jurafsky, Alana Connor, and Alia Crum, (2017 in press). Reading between the menu lines: Are restaurants' descriptions of "healthy" foods unappealing? Health Psychology. [Advance pdf]

Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng. 2017. Data Noising as Smoothing in Neural Network Language Models. Proceedings of ICLR 2017.

Heeyoung Lee, Mihai Surdeanu, and Dan Jurafsky. 2017. A scaffolding approach to coreference resolution integrating statistical and rule-based models. Natural Language Engineering. [pre-publication pdf version].

Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Jure Leskovec, Dan Jurafsky. 2017. Community Identity and User Engagement in a Multi-Community Landscape. Proceedings of ICWSM 2017

William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec, Dan Jurafsky. 2017. Loyalty in Online Communities. Proceedings of ICWSM 2017 (short paper).

Grace Muzny, Michael Fang, Angel X. Chang and Dan Jurafsky. 2017. A Two-stage Sieve Approach for Quote Attribution. Proceedings of EACL 2017, Valencia, Spain. [pdf, bib, data]

Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng. 2017. Building DNN acoustic models for large vocabulary speech recognition. Computer Speech & Language, Volume 41, Pages 195-213. [Earlier ArXiv version]