@InProceedings{minard-raymond-claveau:2018:SMM4H,
  author    = {Minard, Anne-Lyse  and  Raymond, Christian  and  Claveau, Vincent},
  title     = {IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification},
  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     = {50--51},
  abstract  = {This paper describes the systems developed by IRISA to participate to the four tasks of the SMM4H 2018 challenge. For these tweet classification tasks, we adopt a common approach based on recurrent neural networks (BiLSTM). Our main contributions are the use of certain features, the use of Bagging in order to deal with unbalanced datasets, and on the automatic selection of difficult examples.},
  url       = {http://www.aclweb.org/anthology/W18-5913}
}