Mark Dredze

Cited by

	All	Since 2016
Citations	17056	11921
h-index	62	55
i10-index	160	143

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Co-authors

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
John W. AyersUCSDVerified email at ucsd.edu
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Eric LeasUC San DiegoVerified email at ucsd.edu
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Ben AlthouseInstitute for Disease Modeling; University of Washington; New Mexico State UniversityVerified email at idmod.org
John BlitzerGoogle ResearchVerified email at google.com
Glen CoppersmithQntfyVerified email at qntfy.com
Adrian BentonML Engineer at Bloomberg LPVerified email at bloomberg.net
Sandra Crouse QuinnUniversity of MarylandVerified email at umd.edu
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesVerified email at cs.jhu.edu
Mo YuIBM ResearchVerified email at us.ibm.com
Amelia JamisonDoctoral Student, John's Hopkins UniversityVerified email at jhmi.edu
Matthew R. GormleyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Paul McNameeJohns Hopkins UniversityVerified email at jhu.edu
Jon-Patrick AllemUniversity of Southern CaliforniaVerified email at usc.edu
Tim FininWillard and Lillian Hackerman Chair in Engineering, University of Maryland, Baltimore CountyVerified email at umbc.edu
Theodore L. CaputiMIT Economics | www.TheodoreCaputi.comVerified email at mit.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	2272	2007
You are what you tweet: Analyzing twitter for public health M Paul, M Dredze Proceedings of the International AAAI Conference on Web and Social Media 5 (1), 2011	1098	2011
Confidence-weighted linear classification M Dredze, K Crammer, F Pereira Proceedings of the 25th international conference on Machine learning, 264-271, 2008	504	2008
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	431	2018
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	418	2013
Quantifying mental health signals in Twitter G Coppersmith, M Dredze, C Harman Proceedings of the workshop on computational linguistics and clinical …, 2014	417	2014
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	403	2016
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	401	2010
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	381	2010
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	357	2010
Improving lexical embeddings with semantic knowledge M Yu, M Dredze Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	318	2014
Adaptive Regularization of Weight Vectors. K Crammer, A Kulesza, M Dredze NIPS 22, 414-422, 2009	314	2009
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	306	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	295	2013
Twitter improves influenza forecasting MJ Paul, M Dredze, D Broniatowski PLoS currents 6, 2014	244	2014
Discovering health topics in social media using topic models MJ Paul, M Dredze PloS one 9 (8), e103408, 2014	222	2014
Measuring post traumatic stress disorder in Twitter G Coppersmith, C Harman, M Dredze Proceedings of the International AAAI Conference on Web and Social Media 8 (1), 2014	222	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	202	2013
How social media will change public health M Dredze IEEE Intelligent Systems 27 (4), 81-84, 2012	196	2012
Learning Fast Classifiers for Image Spam. M Dredze, R Gevaryahu, A Elias-Bachrach CEAS, 2007-487, 2007	192	2007

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