Mark Dredze

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Michael J. PaulUniversity of Colorado BoulderDirección de correo verificada de colorado.edu
David BroniatowskiAssociate Professor, Department of Engineering Management and Systems Engineering, The GeorgeDirección de correo verificada de gwu.edu
John W. AyersUCSDDirección de correo verificada de ucsd.edu
Eric LeasUC San DiegoDirección de correo verificada de ucsd.edu
Fernando PereiraVP, GoogleDirección de correo verificada de google.com
Sandra Crouse QuinnUniversity of MarylandDirección de correo verificada de umd.edu
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyDirección de correo verificada de ee.technion.ac.il
Ben AlthouseUniversity of Washington; New Mexico State UniversityDirección de correo verificada de uw.edu
Amelia JamisonDoctoral Student, John's Hopkins UniversityDirección de correo verificada de jhmi.edu
Adrian BentonGoogle ResearchDirección de correo verificada de google.com
Glen CoppersmithSelfDirección de correo verificada de coppersmith.ai
John BlitzerGoogle ResearchDirección de correo verificada de google.com
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesDirección de correo verificada de cs.jhu.edu
Theodore L. CaputiMIT Economics | www.TheodoreCaputi.comDirección de correo verificada de mit.edu
Alicia L. NoblesUC San DiegoDirección de correo verificada de ucsd.edu
Shijie WuBloomberg L.P.Dirección de correo verificada de bloomberg.net
Mo YuWeChat AI, TencentDirección de correo verificada de tencent.com
Nanyun (Violet) PengAssistant Professor, UCLADirección de correo verificada de cs.ucla.edu
Zach Wood-DoughtyNorthwestern UniversityDirección de correo verificada de northwestern.edu
Matthew R. GormleyCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu

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Mark Dredze

Johns Hopkins University

Dirección de correo verificada de cs.jhu.edu - Página principal

Machine Learning Natural Language Processing Health Informatics Computational Epidemiology


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2910	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 …, 2011	1395	2011
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	1174	2018
Quantifying mental health signals in Twitter G Coppersmith, M Dredze, C Harman Proceedings of the workshop on computational linguistics and clinical …, 2014	795	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	754	2016
Beto, bentz, becas: The surprising cross-lingual effectiveness of BERT S Wu, M Dredze arXiv preprint arXiv:1904.09077, 2019	683	2019
Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum JW Ayers, A Poliak, M Dredze, EC Leas, Z Zhu, JB Kelley, DJ Faix, ... JAMA internal medicine 183 (6), 589-596, 2023	587	2023
Confidence-weighted linear classification M Dredze, K Crammer, F Pereira Proceedings of the 25th international conference on Machine learning, 264-271, 2008	569	2008
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	558	2013
Annotating named entities in Twitter data with crowdsourcing T Finin, W Murnane, A Karandikar, N Keller, J Martineau, M Dredze Proceedings of the NAACL Workshop on Creating Speech and Text Language Data …, 2010	482	2010
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 computational biology 11 (10), e1004513, 2015	447	2015
Entity disambiguation for knowledge base population M Dredze, P McNamee, D Rao, A Gerber, T Finin Proceedings of the 23rd International Conference on Computational Linguistics, 2010	436	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	434	2010
CLPsych 2015 shared task: Depression and PTSD on Twitter G Coppersmith, M Dredze, C Harman, K Hollingshead, M Mitchell Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015	403	2015
Named entity recognition for chinese social media with jointly trained embeddings N Peng, M Dredze Proceedings of the 2015 conference on empirical methods in natural language …, 2015	400	2015
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 …, 2014	400*	2014
Adaptive regularization of weight vectors K Crammer, A Kulesza, M Dredze Advances in neural information processing systems 22, 2009	393	2009
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	384	2013
From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses G Coppersmith, M Dredze, C Harman, K Hollingshead Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015	380	2015
Improving lexical embeddings with semantic knowledge M Yu, M Dredze Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	378	2014

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