Brendan O'Connor

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Jacob EisensteinGoogle ResearchVerified email at google.com
David BammanUC BerkeleyVerified email at berkeley.edu
Su Lin BlodgettMicrosoft Research MontréalVerified email at microsoft.com
Kevin GimpelQuillBotVerified email at ttic.edu
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown UniversityVerified email at georgetown.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Bryan RoutledgeAssociate Professor of Finance, Carnegie Mellon UniversityVerified email at cmu.edu
Michael HeilmanCivis AnalyticsVerified email at cs.cmu.edu
Katherine A. KeithAssistant Professor, Williams CollegeVerified email at williams.edu
Dani YogatamaReka, USCVerified email at reka.ai
Jeffrey FlaniganAssistant Professor, University of California Santa CruzVerified email at ucsc.edu
Abram Kaufman HandlerUniversity of Colorado, BoulderVerified email at colorado.edu
Dipanjan DasSenior Director of Research, Google DeepmindVerified email at google.com
Ramnath BalasubramanyanGraduate student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Rion SnowUnaffiliatedVerified email at cs.stanford.edu
Andrew NgStanford UniversityVerified email at cs.stanford.edu
Tobi OwoputiGoogleVerified email at google.com

Brendan O'Connor

University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Natural Language Processing Computational Social Science


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From tweets to polls: Linking text sentiment to public opinion time series B O'Connor, R Balasubramanyan, B Routledge, N Smith Proceedings of the international AAAI conference on web and social media 4 …, 2010	2865	2010
Cheap and fast–but is it good? evaluating non-expert annotations for natural language tasks R Snow, B O’connor, D Jurafsky, AY Ng Proceedings of the 2008 conference on empirical methods in natural language …, 2008	2753	2008
Part-of-speech tagging for twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF, 2010	1339	2010
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters O Owoputi, B O’Connor, C Dyer, K Gimpel, N Schneider, NA Smith Proceedings of NAACL, 2013	960	2013
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing Proceedings of the 2010 conference on empirical methods in natural language …, 2010	928	2010
Tweetmotif: Exploratory search and topic summarization for twitter B O'Connor, M Krieger, D Ahn Proceedings of the International AAAI Conference on Web and Social Media 4 …, 2010	519	2010
Censorship and deletion practices in Chinese social media D Bamman, B O'Connor, N Smith First Monday, 2012	481	2012
Demographic Dialectal Variation in Social Media: A Case Study of African-American English SL Blodgett, L Green, B O'Connor EMNLP, 2016	431	2016
Learning latent personas of film characters D Bamman, B O'Connor, NA Smith Proceedings of the Annual Meeting of the Association for Computational …, 2013	325	2013
Diffusion of lexical change in social media J Eisenstein, B O'Connor, NA Smith, EP Xing PloS one 9 (11), e113114, 2014	307	2014
Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study COVIDSurg Collaborative, GlobalSurg Collaborative, D Nepogodiev, ... Anaesthesia 76 (6), 748-758, 2021	286	2021
Racial disparity in natural language processing: A case study of social media african-american english SL Blodgett, B O'Connor arXiv preprint arXiv:1707.00061, 2017	191	2017
Posterior calibration and exploratory analysis for natural language processing models K Nguyen, B O'Connor arXiv preprint arXiv:1508.05154, 2015	140	2015
Text and causal inference: A review of using text to remove confounding from causal estimates KA Keith, D Jensen, B O'Connor arXiv preprint arXiv:2005.00649, 2020	125	2020
BROWSING KNOWLEDGE ON THE BASIS OF SEMANTIC RELATIONS F Salvetti, GL Thione, RS Crouch, D Ahn, LA Biewald, B O'connor, BD Pell US Patent App. 20,090/070,322, 2008	118	2008
Part-of-speech tagging for Twitter: Word clusters and other advances O Owoputi, B O’Connor, C Dyer, K Gimpel, N Schneider School of Computer Science, 2012	111	2012
Predicting a scientific community’s response to an article D Yogatama, M Heilman, B O’Connor, C Dyer, BR Routledge, NA Smith Proceedings of the 2011 conference on empirical methods in natural language …, 2011	91	2011
Learning to Extract International Relations from Political Context B O’Connor, BM Stewart, NA Smith Proceedings of ACL, 2013	90	2013
EMPHASIZING SEARCH RESULTS ACCORDING TO CONCEPTUAL MEANING B Pell, S Prevost, GL Thione, B O'Connor, L Biewald US Patent App. 12/201,504, 2008	82*	2008
Twitter universal dependency parsing for African-American and mainstream American English SL Blodgett, J Wei, B O’Connor Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	80	2018

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