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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 ------------- Previous Courses ------------- OTHER MATERIALS CS124: YouTube lecture videos 2012 NLP MOOC w/Chris Manning: Youtube channel lecture videos Slides |
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]