Mark Dredze - Google Scholar

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Citations	15300	11527
h-index	59	52
i10-index	148	132

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Michael J. PaulUniversity of Colorado BoulderVerified email at colorado.edu
David BroniatowskiAssociate Professor, Department of Engineering Management and Systems Engineering, The GeorgeVerified email at gwu.edu
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
John W. AyersUCSD | www.johnwayers.comVerified email at ucsd.edu
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Eric LeasUniversity of California, San Diego, School of MedicineVerified email at ucsd.edu
John BlitzerGoogle ResearchVerified email at google.com
Ben AlthouseInstitute for Disease Modeling; University of Washington; New Mexico State UniversityVerified email at idmod.org
Glen CoppersmithQntfyVerified email at qntfy.com
Adrian BentonML Engineer at Bloomberg LPVerified email at bloomberg.net
Mo YuIBM ResearchVerified email at us.ibm.com
Benjamin Van DurmeAssociate Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Matthew R. GormleyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Paul McNameeJohns Hopkins UniversityVerified email at jhu.edu
Nanyun PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Tim FininWillard and Lillian Hackerman Chair in Engineering, University of Maryland, Baltimore CountyVerified email at umbc.edu
Sandra Crouse QuinnUniversity of MarylandVerified email at umd.edu
Jon-Patrick AllemUniversity of Southern CaliforniaVerified email at usc.edu
Alex KuleszaResearch Scientist, GoogleVerified email at google.com
Chris Callison-BurchAssociate Professor, University of PennsylvaniaVerified email at upenn.edu

Mark Dredze

Johns Hopkins University

Verified email at cs.jhu.edu - Homepage

Machine Learning Natural Language Processing Health Informatics Computational Epidemiology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification J Blitzer, M Dredze, F Pereira Proceedings of the 45th annual meeting of the association of computational …, 2007	2136	2007
You are what you tweet: Analyzing twitter for public health MJ Paul, M Dredze Fifth international AAAI conference on weblogs and social media, 2011	1039	2011
Confidence-weighted linear classification M Dredze, K Crammer, F Pereira Proceedings of the 25th international conference on Machine learning, 264-271, 2008	482	2008
Annotating named entities in Twitter data with crowdsourcing T Finin, W Murnane, A Karandikar, N Keller, J Martineau, M Dredze Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language …, 2010	387	2010
National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic DA Broniatowski, MJ Paul, M Dredze PloS one 8 (12), e83672, 2013	384	2013
Creating speech and language data with amazon’s mechanical turk C Callison-Burch, M Dredze Proceedings of the NAACL HLT 2010 workshop on creating speech and language …, 2010	382	2010
Quantifying mental health signals in Twitter G Coppersmith, M Dredze, C Harman Proceedings of the workshop on computational linguistics and clinical …, 2014	352	2014
Entity disambiguation for knowledge base population M Dredze, P McNamee, D Rao, A Gerber, T Finin Proceedings of the 23rd International Conference on Computational …, 2010	342	2010
Discovering shifts to suicidal ideation from mental health content in social media M De Choudhury, E Kiciman, M Dredze, G Coppersmith, M Kumar Proceedings of the 2016 CHI conference on human factors in computing systems …, 2016	329	2016
Adaptive regularization of weight vectors K Crammer, A Kulesza, M Dredze Advances in neural information processing systems, 414-422, 2009	304	2009
Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate DA Broniatowski, AM Jamison, SH Qi, L AlKulaib, T Chen, A Benton, ... American journal of public health 108 (10), 1378-1384, 2018	297	2018
Improving lexical embeddings with semantic knowledge M Yu, M Dredze Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	294	2014
Combining search, social media, and traditional data sources to improve influenza surveillance M Santillana, AT Nguyen, M Dredze, MJ Paul, EO Nsoesie, JS Brownstein PLoS Comput Biol 11 (10), e1004513, 2015	272	2015
Separating fact from fear: Tracking flu infections on twitter A Lamb, M Paul, M Dredze Proceedings of the 2013 Conference of the North American Chapter of the …, 2013	268	2013
Twitter improves influenza forecasting MJ Paul, M Dredze, D Broniatowski PLoS currents 6, 2014	218	2014
Discovering health topics in social media using topic models MJ Paul, M Dredze PloS one 9 (8), e103408, 2014	200	2014
Entity linking: Finding extracted entities in a knowledge base D Rao, P McNamee, M Dredze Multi-source, multilingual information extraction and summarization, 93-115, 2013	195	2013
Measuring post traumatic stress disorder in Twitter G Coppersmith, C Harman, M Dredze Eighth international AAAI conference on weblogs and social media, 2014	187	2014
Learning Fast Classifiers for Image Spam. M Dredze, R Gevaryahu, A Elias-Bachrach CEAS, 2007-487, 2007	185	2007
How social media will change public health M Dredze IEEE Intelligent Systems 27 (4), 81-84, 2012	183	2012

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