@inproceedings{bagherzadeh-etal-2019-adverse,
    title = "Adverse Drug Effect and Personalized Health Mentions, {CL}a{C} at {SMM}4{H} 2019, Tasks 1 and 4",
    author = "Bagherzadeh, Parsa  and
      Sheikh, Nadia  and
      Bergler, Sabine",
    editor = "Weissenbacher, Davy  and
      Gonzalez-Hernandez, Graciela",
    booktitle = "Proceedings of the Fourth Social Media Mining for Health Applications ({\#}SMM4H) Workshop {\&} Shared Task",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-3222/",
    doi = "10.18653/v1/W19-3222",
    pages = "123--126",
    abstract = "CLaC labs participated in Task 1 and 4 of SMM4H 2019. We pursed two main objectives in our submission. First we tried to use some textual features in a deep net framework, and second, the potential use of more than one word embedding was tested. The results seem positively affected by the proposed architectures."
}