Overview of the NTCIR-13: MedWeb Task
暂无分享,去创建一个
[1] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[2] Yuji Matsumoto,et al. Applying Conditional Random Fields to Japanese Morphological Analysis , 2004, EMNLP.
[3] David M. Pennock,et al. Using internet searches for influenza surveillance. , 2008, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[4] Ozlem Uzuner,et al. Second i2b2 workshop on natural language processing challenges for clinical records. , 2008, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[5] Aron Culotta,et al. Towards detecting influenza epidemics by analyzing Twitter messages , 2010, SOMA '10.
[6] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[7] Alberto Maria Segre,et al. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic , 2011, PloS one.
[8] Mizuki Morita,et al. Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter , 2011, EMNLP.
[9] Benyuan Liu,et al. Twitter Improves Seasonal Influenza Prediction , 2018, HEALTHINF.
[10] Ellen M. Voorhees,et al. Overview of the TREC 2012 Medical Records Track , 2012, TREC.
[11] Michael J. Paul,et al. National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic , 2013, PloS one.
[12] Paola Velardi,et al. Influenza-Like Illness Surveillance on Twitter through Automated Learning of Naïve Language , 2013, PloS one.
[13] Tomoko Ohkuma,et al. Overview of the NTCIR-10 MedNLP Task , 2013, NTCIR.
[14] Mark Dredze,et al. Separating Fact from Fear: Tracking Flu Infections on Twitter , 2013, NAACL.
[15] Min-Ling Zhang,et al. A Review on Multi-Label Learning Algorithms , 2014, IEEE Transactions on Knowledge and Data Engineering.
[16] Michael J. Paul,et al. Twitter Improves Influenza Forecasting , 2014, PLoS currents.
[17] Tomoko Ohkuma,et al. Overview of the NTCIR-11 MedNLP-2 Task , 2014, NTCIR.
[18] M. Shigematsu,et al. Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review , 2015, PloS one.
[19] Michael J. Paul,et al. Social Media as a Sensor of Air Quality and Public Response in China , 2015, Journal of medical Internet research.
[20] Tomoko Ohkuma,et al. Overview of the NTCIR-12 MedNLPDoc Task , 2016, NTCIR.
[21] Eiji Aramaki,et al. Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction , 2016, COLING.