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jurafsky@stanford.edu Margaret Jacks 117 Stanford CA 94305-2150 BIO TWITTER: @jurafsky CV STUDENTS NLP group WHERE'S DAN? LANGUAGE OF FOOD blog class articles |
TEACHING AUTUMN 2021 cs124/ling180: From Languages to Information Tu/Thu 3:15 PM - 4:30 PM, Room 420-040 EARLIER COURSES SPRING 2020 CS 384: Seminar on Social and Ethical Issues in Natural Language Processing Even Earlier Courses LECTURE VIDEOS CS124: YouTube lecture videos 2012 Online NLP Course w/Chris Manning: Youtube channel lecture videos Slides |
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3rd edn. draft chapters! Speech and Language Processing Dan Jurafsky and James H. Martin |
 James Beard Award Nominee! |
2021 ARTICLES [ALL PUBS] [GOOGLE SCHOLAR]
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]
Portelance, Eva, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche. (2021). The Emergence of the Shape Bias Results from Communicative Efficiency. Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL). [pdf] [bib]
Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, and Dan Jurafsky. 2021. Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages. ASRU 2021. [pdf] [bib]
Dorottya Demszky, Jing Liu, Heather Hill, Dan Jurafsky, and Chris Piech. (2021). Can Automated Feedback Improve Teachers' Uptake of Student Ideas? Evidence From a Randomized Controlled Trial In a Large-Scale Online Course. EdWorkingPapers. [pdf]
William Held, Dan Iter, Dan Jurafsky. (2021). Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. EMNLP 2021. [pdf] [bib]
Rishi Bommasani, full list of authors, Percy Liang. 2021. On the Opportunities and Risks of Foundation Models. [pdf]
Heidi Chen, Emma Pierson, Sonja Schmer-Galunder, Jonathan Altamirano, Dan Jurafsky, Jure Leskovec, Magali Fassiotto, and Nishita Kothary. 2021. Gender differences in patient perceptions of physicians' communal traits and the impact on physician evaluations. Journal of Women's Health, April 2021. 551-556. http://doi.org/10.1089/jwh.2019.8233. [bib]
Mauriello M.L., Tantivasadakarn N., Mora-Mendoza M. A., Lincoln E. T., Hon G., Nowruzi P., Simon D., Hansen L., Goenawan N. H. , Kim J., Gowda N., Jurafsky D., Paredes P. E. (2021). A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study. JMIR Form Res 2021;5(9):e25294 doi: 10.2196/25294. [pdf].
Mauriello, M.L., Lincoln, E.T., Hon, G., Simon, D., Jurafsky, D., and Paredes, P.E. (2021)."SAD: A Stress Annotated Dataset for Recognizing Everyday Stressors in SMS-like Conversational Systems." In Proceedings of ACM CHI 2021 Conference on Human Factors in Computing Systems. Extended Abstract. [pdf]
Camp, N.P., Voigt, R., Jurafsky, D., and Eberhardt, J.L. (2021). The Thin Blue Waveform: Racial disparities in officer prosody shape institutional trust. Journal of Personality and Social Psychology 121(6), 1157-1171. [bib]
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, and Tatsunori Hashimoto. 2021. Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. ACL 2021. [pdf] [bib]
Kawin Ethayarajh and Dan Jurafsky. 2021. Attention Flows are Shapley Value Explanations. ACL 2021. [pdf] [bib]
Michael Hahn, Dan Jurafsky, Richard Futrell. 2021. Sensitivity as a Complexity Measure for Sequence Classification Tasks. Transactions of the Association for Computational Linguistics 9:891-908. [paper] [bib]
Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz and Dan Jurafsky. 2021. Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [paper, bib]
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch and Dhanya Sridhar. 2021. Causal Effects of Linguistic Properties. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [paper, bib]
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer and Mike Lewis. 2021. Nearest Neighbor Machine Translation. International Conference on Learning Representations (ICLR), 2021. [pdf] [bib]
K. Mahowald, M. Norris, D. Jurafsky. 2021. Concord begets concord: A Bayesian model of nominal concord typology. Proceedings of 95th LSA (2021).