Brendan T. O'Connor

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

Ikuti

Brendan T. O'Connor

University of Massachusetts Amherst

Email yang diverifikasi di cs.umass.edu - Beranda

Natural Language Processing Computational Social Science


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	2906	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	2808	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	1351	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	965	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	938	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	523	2010
Censorship and deletion practices in Chinese social media D Bamman, B O'Connor, N Smith First Monday, 2012	491	2012
Demographic Dialectal Variation in Social Media: A Case Study of African-American English SL Blodgett, L Green, B O'Connor EMNLP, 2016	461	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	319	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	205	2017
Posterior calibration and exploratory analysis for natural language processing models K Nguyen, B O'Connor arXiv preprint arXiv:1508.05154, 2015	155	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	135	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	120	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	112	2012
Learning to Extract International Relations from Political Context B O’Connor, BM Stewart, NA Smith Proceedings of ACL, 2013	91	2013
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
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	88	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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