Brendan T. O'Connor

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceEmail confirmado em cs.washington.edu
Jacob EisensteinGoogle ResearchEmail confirmado em google.com
David BammanUC BerkeleyEmail confirmado em berkeley.edu
Su Lin BlodgettMicrosoft Research MontréalEmail confirmado em microsoft.com
Kevin GimpelQuillBotEmail confirmado em ttic.edu
Chris DyerDeepMind, Carnegie MellonEmail confirmado em google.com
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown UniversityEmail confirmado em georgetown.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail confirmado em cs.cmu.edu
Bryan RoutledgeAssociate Professor of Finance, Carnegie Mellon UniversityEmail confirmado em cmu.edu
Michael HeilmanCivis AnalyticsEmail confirmado em cs.cmu.edu
Katherine A. KeithAssistant Professor, Williams CollegeEmail confirmado em williams.edu
Dani YogatamaReka, USCEmail confirmado em reka.ai
Abram Kaufman HandlerUniversity of Colorado, BoulderEmail confirmado em colorado.edu
Jeffrey FlaniganAssistant Professor, University of California Santa CruzEmail confirmado em ucsc.edu
Dipanjan DasSenior Director of Research, Google DeepmindEmail confirmado em google.com
Ramnath BalasubramanyanGraduate student, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityEmail confirmado em stanford.edu
Rion SnowUnaffiliatedEmail confirmado em cs.stanford.edu
Andrew NgStanford UniversityEmail confirmado em cs.stanford.edu
Tobi OwoputiGoogleEmail confirmado em google.com

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Brendan T. O'Connor

University of Massachusetts Amherst

Email confirmado em cs.umass.edu - Página inicial

Natural Language Processing Computational Social Science


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	2888	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	2798	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	1347	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	958	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	934	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	533	2010
Censorship and deletion practices in Chinese social media D Bamman, B O'Connor, N Smith First Monday, 2012	488	2012
Demographic Dialectal Variation in Social Media: A Case Study of African-American English SL Blodgett, L Green, B O'Connor EMNLP, 2016	460	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	338	2013
Diffusion of lexical change in social media J Eisenstein, B O'Connor, NA Smith, EP Xing PloS one 9 (11), e113114, 2014	317	2014
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	207	2017
Posterior calibration and exploratory analysis for natural language processing models K Nguyen, B O'Connor arXiv preprint arXiv:1508.05154, 2015	162	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	140	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	121	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	92	2011
Learning to Extract International Relations from Political Context B O’Connor, BM Stewart, NA Smith Proceedings of ACL, 2013	90	2013
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	87	2018
Bag of what? simple noun phrase extraction for text analysis A Handler, M Denny, H Wallach, B O’Connor Proceedings of the first workshop on NLP and computational social science …, 2016	83	2016
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	83*	2008

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