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Traditional disease surveillance can be augmented with a wide variety of real-time sources such as, news and social media.
Neural probabilistic language models
Y. Bengio, H. Schwenk, J.-S. Senécal, F. Morin, and J.-L. Gauvain · 2006
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A unified architecture for natural language processing: Deep neural networks with multitask learning
R. Collobert and J. Weston · 2008
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Healthmap: global infectious disease monitoring through automated classification and visualization of internet media reports
C. C. Freifeld, K. D. Mandl, B. Y. Reis, and J. S. Brownstein · 2008
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A scalable hierarchical distributed language model
A. Mnih and G. E. Hinton · 2009
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Distributional memory: A general framework for corpus-based semantics
M. Baroni and A. Lenci · 2010
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Software Framework for Topic Modelling with Large Corpora
R. Řehůřek and P. Sojka · 2010
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Word representations: a simple and general method for semi-supervised learning
J. Turian, L. Ratinov, and Y. Bengio · 2010
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From frequency to meaning: Vector space models of semantics
P. D. Turney and P. Pantel · 2010
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Natural language processing (almost) from scratch
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Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
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Linguistic regularities in continuous space word representations
T. Mikolov, W. Yih, and G. Zweig · 2013
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Don’t count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors
M. Baroni, G. Dinu, and G. Kruszewski · 2014
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Linguistic regularities in sparse and explicit word representations
O. Levy and Y. Goldberg · 2014
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Neural word embedding as implicit matrix factorization
O. Levy and Y. Goldberg · 2014
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Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning · 2014
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’beating the news’ with embers: Forecasting civil unrest using open source indicators
N. Ramakrishnan, P. Butler, S. Muthiah, et al · 2014
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Improving distributional similarity with lessons learned from word embeddings
O. Levy, Y. Goldberg, and I. Dagan · 2015
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Sourceseer: Forecasting rare disease outbreaks using multiple data sources
T. Rekatsinas, S. Ghosh, S. R. Mekaru, E. O. Nsoesie, J. S. Brownstein, L. Getoor, and N. Ramakrishnan · 2015
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P. Chakraborty, N. Ramakrishnan, et al · 2014
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Dependency-based word embeddings
O. Levy and Y. Goldberg · 2014
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Dynamic poisson autoregression for influenza-like-illness case count prediction
Z. Wang, P. Chakraborty, S. R. Mekaru, J. S. Brownstein, J. Ye, and N. Ramakrishnan · 2015
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