@inproceedings{tanguy-etal-2020-litl,
    title = "{LITL} at {SMM}4{H}: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets",
    author = "Tanguy, Ludovic  and
      Ho-Dac, Lydia-Mai  and
      Fabre, C{\'e}cile  and
      Bois, Roxane  and
      Haddad, Touati Mohamed Yacine  and
      Ibarboure, Claire  and
      Joyau, Marie  and
      Le moal, Fran{\c{c}}ois  and
      Moiilic, Jade  and
      Roudaut, Laura  and
      Simounet, Mathilde  and
      Stankovic, Irena  and
      Vandewaetere, Mickaela",
    editor = "Gonzalez-Hernandez, Graciela  and
      Klein, Ari Z.  and
      Flores, Ivan  and
      Weissenbacher, Davy  and
      Magge, Arjun  and
      O'Connor, Karen  and
      Sarker, Abeed  and
      Minard, Anne-Lyse  and
      Tutubalina, Elena  and
      Miftahutdinov, Zulfat  and
      Alimova, Ilseyar",
    booktitle = "Proceedings of the Fifth Social Media Mining for Health Applications Workshop {\&} Shared Task",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.smm4h-1.24/",
    pages = "134--137"
}