Brendan T. O'Connor

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligencePatvirtintas el. paštas cs.washington.edu
Jacob EisensteinGoogle ResearchPatvirtintas el. paštas google.com
David BammanUC BerkeleyPatvirtintas el. paštas berkeley.edu
Su Lin BlodgettMicrosoft Research MontréalPatvirtintas el. paštas microsoft.com
Kevin GimpelQuillBotPatvirtintas el. paštas ttic.edu
Chris DyerDeepMind, Carnegie MellonPatvirtintas el. paštas google.com
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown UniversityPatvirtintas el. paštas georgetown.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
Bryan RoutledgeAssociate Professor of Finance, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Michael HeilmanCivis AnalyticsPatvirtintas el. paštas cs.cmu.edu
Katherine A. KeithAssistant Professor, Williams CollegePatvirtintas el. paštas williams.edu
Dani YogatamaReka, USCPatvirtintas el. paštas reka.ai
Abram Kaufman HandlerUniversity of Colorado, BoulderPatvirtintas el. paštas colorado.edu
Jeffrey FlaniganAssistant Professor, University of California Santa CruzPatvirtintas el. paštas ucsc.edu
Dipanjan DasSenior Director of Research, Google DeepmindPatvirtintas el. paštas google.com
Ramnath BalasubramanyanGraduate student, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityPatvirtintas el. paštas stanford.edu
Rion SnowUnaffiliatedPatvirtintas el. paštas cs.stanford.edu
Andrew NgStanford UniversityPatvirtintas el. paštas cs.stanford.edu
Tobi OwoputiGooglePatvirtintas el. paštas google.com

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Brendan T. O'Connor

University of Massachusetts Amherst

Patvirtintas el. paštas cs.umass.edu - Pagrindinis puslapis

Natural Language Processing Computational Social Science


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	2881	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	2795	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	1346	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	532	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	458	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	315	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	160	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	138	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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