@inproceedings{mut-altin-etal-2020-lastus,
    title = "{L}a{STUS}/{TALN} at {TRAC} - 2020 Trolling, Aggression and Cyberbullying",
    author = {Mut Alt{\i}n, L{\"u}tfiye Seda  and
      Bravo, Alex  and
      Saggion, Horacio},
    editor = "Kumar, Ritesh  and
      Ojha, Atul Kr.  and
      Lahiri, Bornini  and
      Zampieri, Marcos  and
      Malmasi, Shervin  and
      Murdock, Vanessa  and
      Kadar, Daniel",
    booktitle = "Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.trac-1.13/",
    pages = "83--86",
    language = "eng",
    ISBN = "979-10-95546-56-6",
    abstract = "This paper presents the participation of the LaSTUS/TALN team at TRAC-2020 Trolling, Aggression and Cyberbullying shared task. The aim of the task is to determine whether a given text is aggressive and contains misogynistic content. Our approach is based on a bidirectional Long Short Term Memory network (bi-LSTM). Our system performed well at sub-task A, aggression detection; however underachieved at sub-task B, misogyny detection."
}