Mark Dredze
TitleCited byYear
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
You are what you tweet: Analyzing twitter for public health
MJ Paul, M Dredze
Fifth International AAAI Conference on Weblogs and Social Media, 2011
Confidence-weighted linear classification
M Dredze, K Crammer, F Pereira
Proceedings of the 25th international conference on Machine learning, 264-271, 2008
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
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
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
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
Adaptive regularization of weight vectors
K Crammer, A Kulesza, M Dredze
Advances in neural information processing systems, 414-422, 2009
Separating fact from fear: Tracking flu infections on twitter
A Lamb, MJ Paul, M Dredze
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
Quantifying mental health signals in Twitter
G Coppersmith, M Dredze, C Harman
Proceedings of the workshop on computational linguistics and clinical …, 2014
Improving lexical embeddings with semantic knowledge
M Yu, M Dredze
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 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
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
Learning Fast Classifiers for Image Spam.
M Dredze, R Gevaryahu, A Elias-Bachrach
CEAS, 2007.487-493, 2007
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
Twitter improves influenza forecasting
MJ Paul, M Dredze, D Broniatowski
PLoS currents 6, 2014
Discovering health topics in social media using topic models
MJ Paul, M Dredze
PloS one 9 (8), e103408, 2014
A model for mining public health topics from Twitter
MJ Paul, M Dredze
Health 11 (16-16), 1, 2012
How social media will change public health
M Dredze
IEEE Intelligent Systems 27 (4), 81-84, 2012
Exact convex confidence-weighted learning
K Crammer, M Dredze, F Pereira
Advances in Neural Information Processing Systems, 345-352, 2009
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Articles 1–20