@inproceedings{onishi-etal-2018-dealing,
    title = "Dealing with Medication Non-Adherence Expressions in {T}witter",
    author = "Onishi, Takeshi  and
      Weissenbacher, Davy  and
      Klein, Ari  and
      O{'}Connor, Karen  and
      Gonzalez-Hernandez, Graciela",
    editor = "Gonzalez-Hernandez, Graciela  and
      Weissenbacher, Davy  and
      Sarker, Abeed  and
      Paul, Michael",
    booktitle = "Proceedings of the 2018 {EMNLP} Workshop {SMM}4{H}: The 3rd Social Media Mining for Health Applications Workshop {\&} Shared Task",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/W18-5908/",
    doi = "10.18653/v1/W18-5908",
    pages = "32--33",
    abstract = "Through a semi-automatic analysis of tweets, we show that Twitter users not only express Medication Non-Adherence (MNA) in social media but also their reasons for not complying; further research is necessary to fully extract automatically and analyze this information, in order to facilitate the use of this data in epidemiological studies."
}