Yejin Choi

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Claire CardieProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Maarten SapUniversity of WashingtonVerified email at cs.washington.edu
Antoine BosselutStanford University, EPFLVerified email at epfl.ch
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Alexander C BergProfessor of Computer Science, University of North Carolina at Chapel HillVerified email at cs.unc.edu
Maxwell ForbesUniversity of WashingtonVerified email at cs.uw.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityVerified email at rice.edu
Song FengResearch Staff Member, IBMVerified email at cs.stonybrook.edu
Ali FarhadiAssociate Professor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Luke ZettlemoyerUniversity of Washington; FacebookVerified email at cs.washington.edu
Polina KuznetsovaGraduate Student, Stony Brook UniversityVerified email at cs.stonybrook.edu
Eunsol ChoiUniversity of Texas at AustinVerified email at cs.utexas.edu
Mark YatskarUniversity of PennsylvaniaVerified email at cis.upenn.edu
Siming LiEBay; Computer Science Department, Stony Brook UniversityVerified email at cs.stonybrook.edu
Jeffrey T. HancockHarry & Norman Chandler Professor of Communication, Stanford UniversityVerified email at stanford.edu
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of JerusalemVerified email at cs.huji.ac.il
Svitlana VolkovaData Sciences and Analytics Group, National Security Directorate, Pacific Northwest NationalVerified email at pnnl.gov
Siddharth PatwardhanAppleVerified email at apple.com
Ellen RiloffProfessor, School of Computing, University of UtahVerified email at cs.utah.edu

Yejin Choi

University of Washington / Allen Institute for Artificial Intelligence

Verified email at cs.washington.edu - Homepage

Natural Language Processing Deep Learning Artificial Intelligence Commonsense Reasoning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Finding deceptive opinion spam by any stretch of the imagination M Ott, Y Choi, C Cardie, JT Hancock arXiv preprint arXiv:1107.4557, 2011	1326	2011
Babytalk: Understanding and generating simple image descriptions G Kulkarni, V Premraj, V Ordonez, S Dhar, S Li, Y Choi, AC Berg, TL Berg IEEE transactions on pattern analysis and machine intelligence 35 (12), 2891 …, 2013	1168	2013
OpinionFinder: A system for subjectivity analysis T Wilson, P Hoffmann, S Somasundaran, J Kessler, J Wiebe, Y Choi, ... Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, 34-35, 2005	657	2005
The curious case of neural text degeneration A Holtzman, J Buys, L Du, M Forbes, Y Choi arXiv preprint arXiv:1904.09751, 2019	499	2019
Syntactic Stylometry for Deception Detection S Feng, R Banerjee, Y Choi	480	2012
Identifying sources of opinions with conditional random fields and extraction patterns Y Choi, C Cardie, E Riloff, S Patwardhan Proceedings of human language technology conference and conference on …, 2005	463	2005
Truth of varying shades: Analyzing language in fake news and political fact-checking H Rashkin, E Choi, JY Jang, S Volkova, Y Choi Proceedings of the 2017 conference on empirical methods in natural language …, 2017	416	2017
Learning with compositional semantics as structural inference for subsentential sentiment analysis Y Choi, C Cardie Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	397	2008
Neural motifs: Scene graph parsing with global context R Zellers, M Yatskar, S Thomson, Y Choi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	352	2018
Composing simple image descriptions using web-scale n-grams S Li, G Kulkarni, T Berg, A Berg, Y Choi Proceedings of the Fifteenth Conference on Computational Natural Language …, 2011	351	2011
Collective generation of natural image descriptions P Kuznetsova, V Ordonez, A Berg, T Berg, Y Choi Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012	347	2012
Swag: A large-scale adversarial dataset for grounded commonsense inference R Zellers, Y Bisk, R Schwartz, Y Choi arXiv preprint arXiv:1808.05326, 2018	342	2018
System and method for automatically summarizing fine-grained opinions in digital text C Cardie, V Stoyanov, Y Choi, E Breck US Patent 8,280,885, 2012	327	2012
System and method for automatically summarizing fine-grained opinions in digital text C Cardie, V Stoyanov, Y Choi, E Breck US Patent 8,280,885, 2012	327	2012
System and method for automatically summarizing fine-grained opinions in digital text C Cardie, V Stoyanov, Y Choi, E Breck US Patent 8,280,885, 2012	327	2012
SYSTEM AND METHOD FOR AUTOMATICALLY SUMMARIZING FINE-GRAINED OPINIONS IN DIGITAL TEXT C Cardie, V Stoyanov, Y Choi, E Breck US Patent App. 11/927,456, 2007	327*	2007
Identifying expressions of opinion in context. E Breck, Y Choi, C Cardie IJCAI 7, 2683-2688, 2007	314	2007
Quac: Question answering in context E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer arXiv preprint arXiv:1808.07036, 2018	307	2018
Defending against neural fake news R Zellers, A Holtzman, H Rashkin, Y Bisk, A Farhadi, F Roesner, Y Choi arXiv preprint arXiv:1905.12616, 2019	270	2019
Atomic: An atlas of machine commonsense for if-then reasoning M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3027-3035, 2019	243	2019

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