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Picture for Dan Jurafsky

Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference


Oct 11, 2021
William Held, Dan Iter, Dan Jurafsky

* 9 pages, 8 figures, To be published in the 2021 Main Conference on Empirical Methods in Natural Language Processing 

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The Emergence of the Shape Bias Results from Communicative Efficiency


Sep 15, 2021
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche

* Accepted at CoNLL 2021 

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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions


Jun 07, 2021
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

* ACL 2021 

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Attention Flows are Shapley Value Explanations


May 31, 2021
Kawin Ethayarajh, Dan Jurafsky

* ACL 2021 

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Sensitivity as a Complexity Measure for Sequence Classification Tasks


Apr 21, 2021
Michael Hahn, Dan Jurafsky, Richard Futrell

* Accepted by TACL. This is a pre-MIT Press publication version 

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Frequency-based Distortions in Contextualized Word Embeddings


Apr 17, 2021
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky


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Leveraging neural representations for facilitating access to untranscribed speech from endangered languages


Mar 26, 2021
Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky

* Submitted to Interspeech 2021 

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Language Through a Prism: A Spectral Approach for Multiscale Language Representations


Nov 09, 2020
Alex Tamkin, Dan Jurafsky, Noah Goodman

* NeurIPS 2020 

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DeSMOG: Detecting Stance in Media On Global Warming


Oct 28, 2020
Yiwei Luo, Dallas Card, Dan Jurafsky

* Findings of EMNLP 2020 
* 9 pages, 6 figures (excluding references and appendices). To appear in Findings of EMNLP 2020 

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Causal Effects of Linguistic Properties


Oct 24, 2020
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar


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Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation


Oct 20, 2020
Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky

* 13 pages, 3 figures 

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Utility is in the Eye of the User: A Critique of NLP Leaderboards


Oct 15, 2020
Kawin Ethayarajh, Dan Jurafsky

* EMNLP 2020 

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With Little Power Comes Great Responsibility


Oct 13, 2020
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky

* To appear at EMNLP 2020 

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Nearest Neighbor Machine Translation


Oct 01, 2020
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis


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The Role of Verb Semantics in Hungarian Verb-Object Order


Jun 16, 2020
Dorottya Demszky, László Kálmán, Dan Jurafsky, Beth Levin

* Work in progress 

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Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models


May 20, 2020
Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky

* AC2020 

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Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models


Apr 30, 2020
Isabel Papadimitriou, Dan Jurafsky


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A Framework for the Computational Linguistic Analysis of Dehumanization


Mar 06, 2020
Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky

* 30 pages, 8 figures (Appendix is 3 pages, 2 figures). Submitted to Frontiers in Artificial Intelligence (Language and Computation) 

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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning


Jan 31, 2020
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau


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Automatically Neutralizing Subjective Bias in Text


Dec 12, 2019
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang

* To appear at AAAI 2020 

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Social Bias Frames: Reasoning about Social and Power Implications of Language


Nov 10, 2019
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi


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Generalization through Memorization: Nearest Neighbor Language Models


Nov 01, 2019
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis


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Sample Efficient Text Summarization Using a Single Pre-Trained Transformer


May 21, 2019
Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser


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Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts


Apr 19, 2019
Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran


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