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ORCIDDaniel Jurafsky
Dan Jurafsky
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- affiliation: Stanford University, USA
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2020 – today
- 2021
[i56]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)- 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) - [c164]Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. AAAI 2020: 480-489 - [c163]Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky:
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL 2020: 4859-4870 - [c162]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 - [c161]Yiwei Luo, Dallas Card, Dan Jurafsky:
DeSMOG: Detecting Stance in Media On Global Warming. EMNLP (Findings) 2020: 3296-3315 - [c160]Kawin Ethayarajh, Dan Jurafsky:
Utility is in the Eye of the User: A Critique of NLP Leaderboards. EMNLP (1) 2020: 4846-4853 - [c159]Isabel Papadimitriou, Dan Jurafsky:
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models. EMNLP (1) 2020: 6829-6839 - [c158]Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky:
With Little Power Comes Great Responsibility. EMNLP (1) 2020: 9263-9274 - [c157]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. ICLR 2020 - [c156]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
- [c155]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 - [c154]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 - [c153]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 - [c152]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 - [c151]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) - [c150]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. ACL (1) 2018: 284-294 - [c149]Dan Iter, Jong Yoon, Dan Jurafsky:
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia. CLPsych@NAACL-HTL 2018: 136-146 - [c148]Michael Hahn, Judith Degen, Noah D. Goodman, Dan Jurafsky, Richard Futrell:
An Information-Theoretic Explanation of Adjective Ordering Preferences. CogSci 2018 - [c147]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 - [c146]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 - [c145]Reid Pryzant, Youngjoo Chung, Dan Jurafsky, Denny Britz:
JESC: Japanese-English Subtitle Corpus. LREC 2018 - [c144]Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov:
RtGender: A Corpus for Studying Differential Responses to Gender. LREC 2018 - [c143]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 - [c142]Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner:
Deconfounded Lexicon Induction for Interpretable Social Science. NAACL-HLT 2018: 1615-1625 - [c141]William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Embedding Logical Queries on Knowledge Graphs. NeurIPS 2018: 2030-2041 - [c140]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) - [c139]David Jurgens, Yulia Tsvetkov, Dan Jurafsky:
Incorporating Dialectal Variability for Socially Equitable Language Identification. ACL (2) 2017: 51-57 - [c138]Grace Muzny, Michael Fang, Angel X. Chang, Dan Jurafsky:
A Two-stage Sieve Approach for Quote Attribution. EACL (1) 2017: 460-470 - [c137]Jiwei Li, Dan Jurafsky:
Neural Net Models of Open-domain Discourse Coherence. EMNLP 2017: 198-209 - [c136]Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. EMNLP 2017: 2157-2169 - [c135]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 - [c134]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 - [c133]William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec:
Loyalty in Online Communities. ICWSM 2017: 540-543 - [c132]Reid Pryzant, Youngjoo Chung, Dan Jurafsky:
Predicting Sales from the Language of Product Descriptions. eCOM@SIGIR 2017 - [c131]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
- [c130]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. ACL (1) 2016 - [c129]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 - [c128]Grace Muzny, Mark Algee-Hewitt, Dan Jurafsky:
The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011. DH 2016: 296-299 - [c127]Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff:
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. EMNLP 2016: 44-54 - [c126]William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. EMNLP 2016: 595-605 - [c125]Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao:
Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016: 1192-1202 - [c124]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. EMNLP 2016: 2116-2121 - [c123]Rob Voigt, Dan Jurafsky, Meghan Sumner:
Between- and Within-Speaker Effects of Bilingualism on F0 Variation. INTERSPEECH 2016: 1122-1126 - [c122]Dan Jurafsky:
Ketchup, Interdisciplinarity, and the Spread of Innovation in Speech and Language Processing. INTERSPEECH 2016: 3111 - [c121]Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky:
Visualizing and Understanding Neural Models in NLP. HLT-NAACL 2016: 681-691 - [i24]Jiwei Li, Dan Jurafsky:
Mutual Information and Diverse Decoding Improve Neural Machine Translation. CoRR abs/1601.00372 (2016) - [i23]Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng:
Neural Language Correction with Character-Based Attention. CoRR abs/1603.09727 (2016) - [i22]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. CoRR abs/1605.09096 (2016) - [i21]Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky:
Deep Reinforcement Learning for Dialogue Generation. CoRR abs/1606.01541 (2016) - [i20]Jiwei Li, Dan Jurafsky:
Neural Net Models for Open-Domain Discourse Coherence. CoRR abs/1606.01545 (2016) - [i19]William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky:
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. CoRR abs/1606.02820 (2016) - [i18]William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. CoRR abs/1606.02821 (2016) - [i17]David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky:
Citation Classification for Behavioral Analysis of a Scientific Field. CoRR abs/1609.00435 (2016) - [i16]Jiwei Li, Will Monroe, Dan Jurafsky:
A Simple, Fast Diverse Decoding Algorithm for Neural Generation. CoRR abs/1611.08562 (2016) - [i15]Jiwei Li, Will Monroe, Dan Jurafsky:
Understanding Neural Networks through Representation Erasure. CoRR abs/1612.08220 (2016) - 2015
- [c120]Rob Voigt, Dan Jurafsky:
The Users Who Say 'Ni': Audience Identification in Chinese-language Restaurant Reviews. ACL (2) 2015: 314-319 - [c119]Jiwei Li, Minh-Thang Luong, Dan Jurafsky:
A Hierarchical Neural Autoencoder for Paragraphs and Documents. ACL (1) 2015: 1106-1115 - [c118]Jiwei Li, Dan Jurafsky:
Do Multi-Sense Embeddings Improve Natural Language Understanding? EMNLP 2015: 1722-1732 - [c117]Jiwei Li, Thang Luong, Dan Jurafsky, Eduard H. Hovy:
When Are Tree Structures Necessary for Deep Learning of Representations? EMNLP 2015: 2304-2314 - [c116]Robert Podesva, Patrick Callier, Rob Voigt, Dan Jurafsky:
The connection between smiling and GOAT fronting: Embodied affect in sociophonetic variation. ICPhS 2015 - [c115]Andrew L. Maas, Ziang Xie, Dan Jurafsky, Andrew Y. Ng:
Lexicon-Free Conversational Speech Recognition with Neural Networks. HLT-NAACL 2015: 345-354 - [i14]Jiwei Li, Dan Jurafsky, Eduard H. Hovy:
When Are Tree Structures Necessary for Deep Learning of Representations? CoRR abs/1503.00185 (2015) - [i13]Jiwei Li, Minh-Thang Luong, Dan Jurafsky:
A Hierarchical Neural Autoencoder for Paragraphs and Documents. CoRR abs/1506.01057 (2015) - [i12]Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky:
Visualizing and Understanding Neural Models in NLP. CoRR abs/1506.01066 (2015) - [i11]Jiwei Li, Dan Jurafsky:
Do Multi-Sense Embeddings Improve Natural Language Understanding? CoRR abs/1506.01070 (2015) - [i10]Jiwei Li, Alan Ritter, Dan Jurafsky:
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks. CoRR abs/1510.05198 (2015) - 2014
- [j17]Dan Jurafsky:
Charles J. Fillmore. Comput. Linguistics 40(3): 725-731 (2014) - [j16]Dan Jurafsky, Victor Chahuneau, Bryan R. Routledge, Noah A. Smith:
Narrative framing of consumer sentiment in online restaurant reviews. First Monday 19(4) (2014) - [c114]Elie Bursztein, Angelique Moscicki, Celine Fabry, Steven Bethard, John C. Mitchell, Dan Jurafsky:
Easy does it: more usable CAPTCHAs. CHI 2014: 2637-2646 - [c113]Adam Vogel, Andrés Goméz Emilsson, Michael C. Frank, Dan Jurafsky, Christopher Potts:
Learning to Reason Pragmatically with Cognitive Limitations. CogSci 2014 - [c112]Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky:
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. ICWSM 2014 - [c111]Heeyoung Lee, Mihai Surdeanu, Bill MacCartney, Dan Jurafsky:
On the Importance of Text Analysis for Stock Price Prediction. LREC 2014: 1170-1175 - [c110]Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky:
Event Extraction Using Distant Supervision. LREC 2014: 4527-4531 - [c109]Sebastian Schuster, Stephanie Pancoast, Milind Ganjoo, Michael C. Frank, Dan Jurafsky:
Speaker-independent detection of child-directed speech. SLT 2014: 366-371 - [i9]Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky:
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. CoRR abs/1405.3282 (2014) - [i8]Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng:
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. CoRR abs/1406.7806 (2014) - [i7]Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng:
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs. CoRR abs/1408.2873 (2014) - [i6]Jiwei Li, Alan Ritter, Dan Jurafsky:
Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks. CoRR abs/1411.2679 (2014) - 2013
- [j15]Heeyoung Lee, Angel X. Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky:
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules. Comput. Linguistics 39(4): 885-916 (2013) - [j14]Rajesh Ranganath, Dan Jurafsky, Daniel A. McFarland:
Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Comput. Speech Lang. 27(1): 89-115 (2013) - [c108]Adam Vogel, Christopher Potts, Dan Jurafsky:
Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs. ACL (2) 2013: 74-80 - [c107]Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts:
A computational approach to politeness with application to social factors. ACL (1) 2013: 250-259 - [c106]Kevin Reschke, Adam Vogel, Dan Jurafsky:
Generating Recommendation Dialogs by Extracting Information from User Reviews. ACL (2) 2013: 499-504 - [c105]Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky:
Linguistic Models for Analyzing and Detecting Biased Language. ACL (1) 2013: 1650-1659 - [c104]Rob Voigt, Dan Jurafsky:
Tradition and Modernity in 20th Century Chinese Poetry. CLfL@NAACL-HLT 2013: 17-22 - [c103]Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky:
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction. EMNLP 2013: 1983-1995 - [c102]