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:
Fri Oct 26 4:30-5:30

BIO

CV

STUDENTS

NLP group

WHERE'S DAN?

LANGUAGE OF FOOD
   blog
   class
   articles

PRESS





















   
TEACHING   

WINTER 2019
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
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Previous Courses
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OTHER MATERIALS
CS124:     YouTube lecture videos
2012 NLP MOOC w/Chris Manning:
    Youtube channel lecture videos
    Slides

































BOOKS

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

James Beard Award
Nominee!


2018 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

Matthew Lamm, Arun Tejasvi Chaganty, Chrisopher D. Manning, Dan Jurafsky and Percy Liang. 2018. Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP 2018. [paper, bib]

Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky and Yulia Tsvetkov. 2018. Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. EMNLP 2018. [paper, bib]

Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer Eberhardt, and Dan Jurafsky. 2018. Detecting Institutional Dialog Acts in Police Traffic Stops. Transactions of the Association for Computational Linguistics 6: 467--481. [paper, bib]

David Jurgens, Srijan Kumar, Raine Hoover, Dan McFarland, Dan Jurafsky. 2018 Measuring the Evolution of a Scientific Field through Citation Frames. Transactions of the Association for Computational Linguistics (TACL). [pdf] [website (with data)] [code]

Urvashi Khandelwal, He He, Peng Qi and Dan Jurafsky. 2018. Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. Association for Computational Linguistics (ACL). [paper, bib]

Michael Hahn, Judith Degen, Noah Goodman, Dan Jurafsky and and Richard Futrell. 2018. An information-theoretic explanation of adjective ordering preferences. 40th Annual Meeting of the Cognitive Science Society (CogSci). [paper, bib]

Dan Iter, Jong H. Yoon and Dan Jurafsky. 2018. Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia. NAACL HLT Workshop on Computational Linguistics and Clinical Psychology. [paper, bib]

Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou. 2018. Word embeddings quantify 100 years of gender and ethnic stereotypes. Proceedings of the National Academy of Sciences 2018.

Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky. 2018. Community Interaction and Conflict on the Web. Proceedings of the Web Conference (WWW) 2018.

Reid Pryzant, Kelly Shen, Dan Jurafsky and Stefan Wagner. 2018. Deconfounded Lexicon Induction for Interpretable Social Science. 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [paper]

Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Y. Ng, and Dan Jurafsky. 2018. Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction. 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2018). [paper]

Reid Pryzant, Young-joo Chung, Denny Britz, Dan Jurafsky. 2018. JESC: Japanese-English Subtitle Corpus. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC), 2018. [paper] [dataset]

Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, and Yulia Tsvetkov. 2018. RtGender: A Corpus of Responses to Gender for Studying Gender Bias. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC), 2018. [paper]