@inproceedings{safi-samghabadi-etal-2018-ritual,
    title = "{R}i{TUAL}-{UH} at {TRAC} 2018 Shared Task: Aggression Identification",
    author = "Safi Samghabadi, Niloofar  and
      Mave, Deepthi  and
      Kar, Sudipta  and
      Solorio, Thamar",
    editor = "Kumar, Ritesh  and
      Ojha, Atul Kr.  and
      Zampieri, Marcos  and
      Malmasi, Shervin",
    booktitle = "Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying ({TRAC}-2018)",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-4402",
    pages = "12--18",
    abstract = "This paper presents our system for {``}TRAC 2018 Shared Task on Aggression Identification{''}. Our best systems for the English dataset use a combination of lexical and semantic features. However, for Hindi data using only lexical features gave us the best results. We obtained weighted F1-measures of 0.5921 for the English Facebook task (ranked 12th), 0.5663 for the English Social Media task (ranked 6th), 0.6292 for the Hindi Facebook task (ranked 1st), and 0.4853 for the Hindi Social Media task (ranked 2nd).",
}