@inproceedings{fortuna-etal-2019-stop,
    title = "Stop {P}ropag{H}ate at {S}em{E}val-2019 Tasks 5 and 6: Are abusive language classification results reproducible?",
    author = "Fortuna, Paula  and
      Soler-Company, Juan  and
      Nunes, S{\'e}rgio",
    editor = "May, Jonathan  and
      Shutova, Ekaterina  and
      Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.",
    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/S19-2131/",
    doi = "10.18653/v1/S19-2131",
    pages = "745--752",
    abstract = "This paper summarizes the participation of Stop PropagHate team at SemEval 2019. Our approach is based on replicating one of the most relevant works on the literature, using word embeddings and LSTM. After circumventing some of the problems of the original code, we found poor results when applying it to the HatEval contest (F1=0.45). We think this is due mainly to inconsistencies in the data of this contest. Finally, for the OffensEval the classifier performed well (F1=0.74), proving to have a better performance for offense detection than for hate speech."
}