@inproceedings{adjali-etal-2022-ofu,
    title = "{OFU}@{SMM}4{H}{'}22: Mining Advent Drug Events Using Pretrained Language Models",
    author = "Adjali, Omar  and
      Laleye, Fr{\'e}jus A. A.  and
      Aggarwal, Umang",
    editor = "Gonzalez-Hernandez, Graciela  and
      Weissenbacher, Davy",
    booktitle = "Proceedings of the Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.smm4h-1.46/",
    pages = "171--175",
    abstract = "We describe in this paper our proposed systems for the Social Media Mining for Health 2022 shared task 1. In particular, we participated in the three sub-tasks, tasks that aim at extracting and processing Adverse Drug Events. We investigate different transformer-based pretrained models we fine-tuned on each task and proposed some improvement on the task of entity normalization."
}