DAN JURAFSKY
Professor and Chair of Linguistics
Professor of Computer Science
Stanford University
        I study computational linguistics 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

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, Lathrop 282

WINTER 2017
ling197a: Undergrad Capstone Seminar
Fri 12:30pm-2:20pm, Ivan Sag Room

cs124/ling180:
From Languages to Information
Tu/Thu 3:00-4:20 Bishop Auditorium

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

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SPRING 2016
Think 53: Food Talks: The Language of Food
Tu/Thu 1:30-2:20, 380-380C

ling 289: Computational Models of Language Change [public version]
Tuesdays 4:30-6:30

Previous Courses

MATERIALS
Instructor Materials for
the online NLP MOOC






BOOKS

James Beard 2015 Award Finalist!


3rd edition draft chapters!

2016 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

William L. Hamilton, Jure Leskovec, Dan Jurafsky. 2016. Cultural Shift or Linguistic Drift? Comparing Two Computational Models of Semantic Change. To appear in Proceedings of EMNLP 2016.

William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky. 2016. Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. To appear in Proceedings of EMNLP 2016.

Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi and Ellen Riloff. 2016. Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. To appear in Proceedings of EMNLP 2016.

Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao and Dan Jurafsky. 2016. Deep Reinforcement Learning for Dialogue Generation. To appear in Proceedings of EMNLP 2016.

Rob Voigt, Dan Jurafsky, and Meghan Sumner. 2016. Between- and Within-Speaker Effects of Bilingualism on F0 Variation. Proceedings of Interspeech. [pdf]

William L. Hamilton, Jure Leskovec, and Dan Jurafsky. 2016. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. Proceedings of ACL. [pdf]

Vinodkumar Prabhakaran, William L. Hamilton, Dan McFarland, and Dan Jurafsky. 2016. Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. Proceedings of ACL 2016. [pdf]

Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky. 2016. Visualizing and Understanding Neural Models in NLP. Proceedings of NAACL 2016. [pdf]

Dan Jurafsky. 2016. "Tea." Encyclopedia of Chinese Language and Linguistics. Rint Sybesma, Wolfgang Behr, Yueguo Gu, Zev Handel, C.-T. James Huang, and James Myers (Eds). Leiden: Brill.