DAN JURAFSKY
Jackson Eli Reynolds Professor
  in Humanities,
Professor and Chair of Linguistics
Professor of Computer Science
Stanford University
  I study natural language processing and its application to the cognitive and social sciences. I am a past MacArthur Fellow and also work on the language of food.
jurafsky(at)stanford.edu
Margaret Jacks 117
Stanford CA 94305-2150

TWITTER: @jurafsky

NEXT OFFICE HOURS:
Mon Nov 18 5:00-6:00pm

BIO

CV

STUDENTS

NLP group

WHERE'S DAN?

LANGUAGE OF FOOD
   blog
   class
   articles

PRESS





















   
TEACHING   

SPRING 2020
CS 384: Social and Ethical Issues in Natural Language Processing
Tu 4:30-6:20 Room TBA

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
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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!


2019 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, and Ajay Divakaran. 2019. Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. EMNLP 2019. [pdf]

Yiwei Luo, Dan Jurafsky, and Beth Levin. 2019. From Insanely Jealous to Insanely Delicious: Computational Models for the Semantic Bleaching of English Intensifiers. Proceedings of the ACL Workshop on Computational Approaches to Historical Language Change. [pdf] [bib]

Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro and Dan Jurafsky. 2019. Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. NAACL 2019.   [pdf] [bib]

Lerrigo, Robert, Johnny T. R. Coffey, Joshua L. Kravitz, Priyanka Jadhav, Azadeh Nikfarjam, Nigam H. Shah, Dan Jurafsky, and Sidhartha R. Sinha. The Emotional Toll of Inflammatory Bowel Disease: Using Machine Learning to Analyze Online Community Forum Discourse. Crohn's & Colitis 360 1, no. 2 (2019).

Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua Greene, Dan Jurafsky, Christopher Potts and Lauri Karttunen. 2019. Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL 2019.   [pdf] [bib]

Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, and Eduard Hovy. 2019. Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms. NAACL 2019.   [pdf] [bib]

Diyi Yang, Robert Kraut, Tenbroeck Smith, Elijah Mayfield, and Dan Jurafsky. 2019. Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities. CHI, 2019 (Best Paper Honorable Mention).   [pdf] [bib]

Beth Levin, Lelia Glass, and Dan Jurafsky. 2019. Systematicity in the semantics of noun compounds: The role of artifacts vs. natural kinds. Linguistics Vol 7 Issue 3, 429-472. [pdf]

Joseph Lee, Ziang Xie, Cindy Wang, Max Drach, Dan Jurafsky, and Andrew Y. Ng. 2019. Neural Text Style Transfer via Denoising and Reranking. Proceedings of the ACL 2019 Workshop on Methods for Optimizing and Evaluating Neural Language Generation (NeuralGen), pages 74-81 [pdf]