Photo of Dan by Do Pham, Stanford
                    Image: Do Pham, Stanford
Jackson Eli Reynolds Professor
  in Humanities,
Professor of Linguistics
Professor of Computer Science
Stanford University
  I study natural language processing and its application to the social and cognitive sciences. I am a past MacArthur Fellow and also work on the language of food.
Margaret Jacks 117
Stanford CA 94305-2150


TWITTER: @jurafsky



NLP group





From Languages to Information

Tu/Thu 3:00 PM - 4:20 PM,

CS 384: Seminar on Social and Ethical Issues in Natural Language Processing
Thu 3:00-5:50 PM

Earlier Courses

CS124:     YouTube lecture videos
2012 NLP Online 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


Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, and Daniel E. Ho. 2022. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. Proceedings of Neurips 2022. [pdf]

Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang. 2022. Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), 2022. [pdf]

Eric Mitchell*, Peter Henderson*, Christopher Manning, Dan Jurafsky, Chelsea Finn. 2022. Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models. New Frontiers in Adversarial Machine Learning Workshop at ICML and Pre-training: Perspectives, Pitfalls, and Paths Forward at ICML, 2022. [pdf]

Mirac Suzgun, Luke Melas-Kyriazi and Dan Jurafsky. 2022. Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. Proceedings of EMNLP 2022. [pdf] [bib]

Kawin Ethayarajh and Dan Jurafsky. 2022. The Authenticity Gap in Human Evaluation. EMNLP 2022. [pdf] [bib]

Dallas Card, Serina Chang, Chris Becker, Julia Mendelsohn, Rob Voigt, Leah Boustan, Ran Abramitzky, and Dan Jurafsky. 2022. Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration. Proceedings of the National Academy of Sciences 119 (31) e2120510119. [pdf]

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill & Dan Jurafsky. 2022. Computationally Identifying Funneling and Focusing Questions in Classroom Discourse . 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) [pdf] [bib]

Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky. 2022. Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL 2022. [pdf] [bib].

Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky. 2022. Richer Countries and Richer Representations. ACL 2022 - Findings. [pdf] [bib].

San, N., Bartelds, M., Ògúnrèmí, T., Mount, A., Thompson, R., Higgins, M., Barker, R., Simpson, J., & Jurafsky, D. 2022. Automated speech tools for helping communities process restricted-access corpora for language revival efforts. In Proceedings of the 5th workshop on the use of Computational Methods in the Study of Endangered Languages (ComputEL-5). [pdf]

Junshen Chen, Dallas Card, and Dan Jurafsky. 2022. Modular Domain Adaptation. ACL 2022 - Findings. [pdf] [bib].

Stephan Risi, Crystal Lee, Mathias W. Nielsen, Emma Kerr, Emer Brady, Lanu Kim, Daniel A. McFarland, Dan Jurafsky, James Zou, and Londa Schiebinger. 2022. Diversifying History: A Large-Scale Analysis of Changes in Researcher Demographics and Scholarly Agendas. PlosOne. 17(1). [pdf].

Bradley P. Turnwald, Margaret A. Perry, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Hazel R. Markus, Alia J. Crum. 2022. Language in popular American culture constructs the meaning of healthy and unhealthy eating: Narratives of craveability, excitement, and social connection in movies, television, social media, recipes, and food reviews, Appetite, Volume 172. [pdf]