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ORCIDDaniel Jurafsky
Dan Jurafsky
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- affiliation: Stanford University, USA
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2020 – today
- 2023
[i79]Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, Dan Jurafsky:
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. CoRR abs/2302.04975 (2023)- [i78]Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto:
Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. CoRR abs/2302.13439 (2023) - 2022
- [c180]Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky:
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) 2022: 401-423 - [c179]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Richer Countries and Richer Representations. ACL (Findings) 2022: 2074-2085 - [c178]Junshen K. Chen, Dallas Card, Dan Jurafsky:
Modular Domain Adaptation. ACL (Findings) 2022: 3633-3655 - [c177]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP 2022: 2195-2222 - [c176]Kawin Ethayarajh, Dan Jurafsky:
The Authenticity Gap in Human Evaluation. EMNLP 2022: 6056-6070 - [i77]Nay San, Martijn Bartelds, Tolúlopé Ògúnrèmí, Alison Mount, Ruben Thompson, Michael Higgins, Roy Barker, Jane Simpson, Dan Jurafsky:
Automated speech tools for helping communities process restricted-access corpora for language revival efforts. CoRR abs/2204.07272 (2022) - [i76]Junshen K. Chen, Dallas Card, Dan Jurafsky:
Modular Domain Adaptation. CoRR abs/2204.14213 (2022) - [i75]Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky:
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR abs/2205.05092 (2022) - [i74]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Richer Countries and Richer Representations. CoRR abs/2205.05093 (2022) - [i73]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR abs/2205.11503 (2022) - [i72]Kawin Ethayarajh, Dan Jurafsky:
How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory. CoRR abs/2205.11930 (2022) - [i71]Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho:
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. CoRR abs/2207.00220 (2022) - [i70]Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky:
Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. CoRR abs/2208.04715 (2022) - [i69]Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou:
When and why vision-language models behave like bags-of-words, and what to do about it? CoRR abs/2210.01936 (2022) - [i68]Isabel Papadimitriou, Kezia Lopez, Dan Jurafsky:
Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models. CoRR abs/2210.05619 (2022) - [i67]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR abs/2211.03759 (2022) - [i66]Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky:
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR abs/2211.07634 (2022) - [i65]Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang:
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? CoRR abs/2211.13972 (2022) - [i64]Eric Mitchell, Peter Henderson, Christopher D. Manning, Dan Jurafsky, Chelsea Finn:
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models. CoRR abs/2211.14946 (2022) - 2021
- [j26]Michael Hahn
, Dan Jurafsky, Richard Futrell:
Sensitivity as a Complexity Measure for Sequence Classification Tasks. Trans. Assoc. Comput. Linguistics 9: 891-908 (2021) - [c175]Kawin Ethayarajh, Dan Jurafsky:
Attention Flows are Shapley Value Explanations. ACL/IJCNLP (2) 2021: 49-54 - [c174]Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto:
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. ACL/IJCNLP (1) 2021: 1638-1653 - [c173]Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky:
Leveraging Pre-Trained Representations to Improve Access to Untranscribed Speech from Endangered Languages. ASRU 2021: 1094-1101 - [c172]Matthew Louis Mauriello, Thierry Lincoln, Grace Hon, Dorien Simon, Dan Jurafsky, Pablo Paredes:
SAD: A Stress Annotated Dataset for Recognizing Everyday Stressors in SMS-like Conversational Systems. CHI Extended Abstracts 2021: 399:1-399:7 - [c171]Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche:
The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL 2021: 607-623 - [c170]William Held, Dan Iter, Dan Jurafsky:
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. EMNLP (1) 2021: 1406-1417 - [c169]Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Nearest Neighbor Machine Translation. ICLR 2021 - [c168]Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar:
Causal Effects of Linguistic Properties. NAACL-HLT 2021: 4095-4109 - [c167]Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky:
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. NAACL-HLT 2021: 5288-5304 - [i63]Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky:
Leveraging neural representations for facilitating access to untranscribed speech from endangered languages. CoRR abs/2103.14583 (2021) - [i62]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Frequency-based Distortions in Contextualized Word Embeddings. CoRR abs/2104.08465 (2021) - [i61]Michael Hahn, Dan Jurafsky, Richard Futrell:
Sensitivity as a Complexity Measure for Sequence Classification Tasks. CoRR abs/2104.10343 (2021) - [i60]Kawin Ethayarajh, Dan Jurafsky:
Attention Flows are Shapley Value Explanations. CoRR abs/2105.14652 (2021) - [i59]Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto:
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. CoRR abs/2106.03873 (2021) - [i58]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya 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 D. 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 Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i57]Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche:
The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR abs/2109.06232 (2021) - [i56]William Held, Dan Iter, Dan Jurafsky:
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. CoRR abs/2110.05362 (2021) - 2020
- [j25]Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. Frontiers Artif. Intell. 3: 55 (2020) - [j24]Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel:
Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA 117(14): 7684-7689 (2020) - [c166]Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. AAAI 2020: 480-489 - [c165]Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky:
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL 2020: 4859-4870 - [c164]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c163]Yiwei Luo, Dallas Card, Dan Jurafsky:
DeSMOG: Detecting Stance in Media On Global Warming. EMNLP (Findings) 2020: 3296-3315 - [c162]Kawin Ethayarajh, Dan Jurafsky:
Utility is in the Eye of the User: A Critique of NLP Leaderboards. EMNLP (1) 2020: 4846-4853 - [c161]Isabel Papadimitriou, Dan Jurafsky:
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models. EMNLP (1) 2020: 6829-6839 - [c160]Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky:
With Little Power Comes Great Responsibility. EMNLP (1) 2020: 9263-9274 - [c159]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. ICLR 2020 - [c158]Alex Tamkin, Dan Jurafsky, Noah D. Goodman:
Language Through a Prism: A Spectral Approach for Multiscale Language Representations. NeurIPS 2020 - [e4]Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R. Tetreault:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-25-5 [contents] - [i55]Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau:
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. CoRR abs/2002.05651 (2020) - [i54]Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. CoRR abs/2003.03014 (2020) - [i53]Isabel Papadimitriou, Dan Jurafsky:
Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models. CoRR abs/2004.14601 (2020) - [i52]Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky:
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. CoRR abs/2005.10389 (2020) - [i51]Dorottya Demszky, László Kálmán, Dan Jurafsky, Beth Levin:
The Role of Verb Semantics in Hungarian Verb-Object Order. CoRR abs/2006.09432 (2020) - [i50]Kawin Ethayarajh, Dan Jurafsky:
Utility is in the Eye of the User: A Critique of NLP Leaderboards. CoRR abs/2009.13888 (2020) - [i49]Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Nearest Neighbor Machine Translation. CoRR abs/2010.00710 (2020) - [i48]Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky:
With Little Power Comes Great Responsibility. CoRR abs/2010.06595 (2020) - [i47]Yasuhide Miura, Yuhao Zhang, Curtis P. Langlotz, Dan Jurafsky:
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. CoRR abs/2010.10042 (2020) - [i46]Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar:
Causal Effects of Linguistic Properties. CoRR abs/2010.12919 (2020) - [i45]Yiwei Luo, Dallas Card, Dan Jurafsky:
DeSMOG: Detecting Stance in Media On Global Warming. CoRR abs/2010.15149 (2020) - [i44]Alex Tamkin, Dan Jurafsky, Noah D. Goodman:
Language Through a Prism: A Spectral Approach for Multiscale Language Representations. CoRR abs/2011.04823 (2020)
2010 – 2019
- 2019
- [c157]Yiwei Luo, Dan Jurafsky, Beth Levin:
From Insanely Jealous to Insanely Delicious: Computational Models for the Semantic Bleaching of English Intensifiers. LChange@ACL 2019: 1-13 - [c156]Diyi Yang, Robert E. Kraut, Tenbroeck Smith, Elijah Mayfield, Dan Jurafsky:
Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities. CHI 2019: 344 - [c155]Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran:
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. EMNLP/IJCNLP (1) 2019: 4621-4631 - [c154]Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky:
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. NAACL-HLT (1) 2019: 2970-3005 - [c153]Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard H. Hovy:
Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms. NAACL-HLT (1) 2019: 3620-3630 - [c152]Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen:
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) 2019: 3631-3648 - [i43]Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky:
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. CoRR abs/1904.01596 (2019) - [i42]Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran:
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. CoRR abs/1904.09073 (2019) - [i41]Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser:
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. CoRR abs/1905.08836 (2019) - [i40]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. CoRR abs/1911.00172 (2019) - [i39]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR abs/1911.03891 (2019) - [i38]Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. CoRR abs/1911.09709 (2019) - 2018
- [j23]Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou:
Word embeddings quantify 100 years of gender and ethnic stereotypes. Proc. Natl. Acad. Sci. USA 115(16): E3635-E3644 (2018) - [j22]David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky:
Measuring the Evolution of a Scientific Field through Citation Frames. Trans. Assoc. Comput. Linguistics 6: 391-406 (2018) - [j21]Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, Prateek Verma, Nelson Morgan, Jennifer Eberhardt, Dan Jurafsky:
Detecting Institutional Dialog Acts in Police Traffic Stops. Trans. Assoc. Comput. Linguistics 6: 467-481 (2018) - [c151]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. ACL (1) 2018: 284-294 - [c150]Dan Iter, Jong Yoon, Dan Jurafsky:
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia. CLPsych@NAACL-HTL 2018: 136-146 - [c149]Michael Hahn, Judith Degen, Noah D. Goodman, Dan Jurafsky, Richard Futrell:
An Information-Theoretic Explanation of Adjective Ordering Preferences. CogSci 2018 - [c148]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP 2018: 82-92 - [c147]Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov:
Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies. EMNLP 2018: 3570-3580 - [c146]Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz:
JESC: Japanese-English Subtitle Corpus. LREC 2018 - [c145]Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov:
RtGender: A Corpus for Studying Differential Responses to Gender. LREC 2018 - [c144]Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Y. Ng, Dan Jurafsky:
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction. NAACL-HLT 2018: 619-628 - [c143]Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner:
Deconfounded Lexicon Induction for Interpretable Social Science. NAACL-HLT 2018: 1615-1625 - [c142]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Embedding Logical Queries on Knowledge Graphs. NeurIPS 2018: 2030-2041 - [c141]Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Community Interaction and Conflict on the Web. WWW 2018: 933-943 - [i37]Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Community Interaction and Conflict on the Web. CoRR abs/1803.03697 (2018) - [i36]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. CoRR abs/1805.04623 (2018) - [i35]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Querying Complex Networks in Vector Space. CoRR abs/1806.01445 (2018) - [i34]Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov:
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. CoRR abs/1808.09386 (2018) - [i33]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. CoRR abs/1809.02700 (2018) - 2017
- [j20]Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng:
Building DNN acoustic models for large vocabulary speech recognition. Comput. Speech Lang. 41: 195-213 (2017) - [j19]Grace Muzny, Mark Algee-Hewitt, Dan Jurafsky:
Dialogism in the novel: A computational model of the dialogic nature of narration and quotations. Digit. Scholarsh. Humanit. 32(suppl_2): ii31-ii52 (2017) - [j18]Heeyoung Lee, Mihai Surdeanu, Dan Jurafsky:
A scaffolding approach to coreference resolution integrating statistical and rule-based models. Nat. Lang. Eng. 23(5): 733-762 (2017) - [c140]David Jurgens, Yulia Tsvetkov, Dan Jurafsky:
Incorporating Dialectal Variability for Socially Equitable Language Identification. ACL (2) 2017: 51-57 - [c139]Grace Muzny, Michael Fang, Angel X. Chang, Dan Jurafsky:
A Two-stage Sieve Approach for Quote Attribution. EACL (1) 2017: 460-470 - [c138]Jiwei Li, Dan Jurafsky:
Neural Net Models of Open-domain Discourse Coherence. EMNLP 2017: 198-209 - [c137]Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. EMNLP 2017: 2157-2169 - [c136]Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng:
Data Noising as Smoothing in Neural Network Language Models. ICLR (Poster) 2017 - [c135]Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Community Identity and User Engagement in a Multi-Community Landscape. ICWSM 2017: 377-386 - [c134]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. ICWSM 2017: 540-543 - [c133]Reid Pryzant, Youngjoo Chung, Dan Jurafsky:
Predicting Sales from the Language of Product Descriptions. eCOM@SIGIR 2017 - [c132]David Jurgens, Yulia Tsvetkov, Dan Jurafsky:
Writer Profiling Without the Writer's Text. SocInfo (2) 2017: 537-558 - [i32]Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. CoRR abs/1701.06547 (2017) - [i31]Jiwei Li, Will Monroe, Dan Jurafsky:
Learning to Decode for Future Success. CoRR abs/1701.06549 (2017) - [i30]Jiwei Li, Will Monroe, Dan Jurafsky:
Data Distillation for Controlling Specificity in Dialogue Generation. CoRR abs/1702.06703 (2017) - [i29]Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng:
Data Noising as Smoothing in Neural Network Language Models. CoRR abs/1703.02573 (2017) - [i28]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. CoRR abs/1703.03386 (2017) - [i27]Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Community Identity and User Engagement in a Multi-Community Landscape. CoRR abs/1705.09665 (2017) - [i26]Reid Pryzant, Yongjoo Chung, Dan Jurafsky, Denny Britz:
JESC: Japanese-English Subtitle Corpus. CoRR abs/1710.10639 (2017) - [i25]Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou:
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes. CoRR abs/1711.08412 (2017) - 2016
- [c131]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. ACL (1) 2016 - [c130]Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky:
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) 2016 - [c129]Grace Muzny, Mark Algee-Hewitt, Dan Jurafsky:
The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011. DH 2016: 296-299 - [c128]