@InProceedings{ellendorff-EtAl:2018:SMM4H,
  author    = {Ellendorff, Tilia  and  Cornelius, Joseph  and  Gordon, Heath  and  Colic, Nicola  and  Rinaldi, Fabio},
  title     = {UZH$@$SMM4H: System Descriptions},
  booktitle = {Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {56--60},
  abstract  = {Our team at the University of Zürich participated in the first 3 of the 4 sub-tasks at the Social Media Mining for Health Applications (SMM4H) shared task. We experimented with different approaches for text classification, namely traditional feature-based classifiers (Logistic Regression and Support Vector},
  url       = {http://www.aclweb.org/anthology/W18-5916}
}