@inproceedings{priyadharshini-etal-2023-overview,
    title = "Overview of Shared-task on Abusive Comment Detection in {T}amil and {T}elugu",
    author = "Priyadharshini, Ruba  and
      Chakravarthi, Bharathi Raja  and
      Subramanian, Malliga  and
      Chinnaudayar Navaneethakrishnan, Subalalitha  and
      Shanmugavadivel, Kogilavani  and
      B, Premjith  and
      Murugappan, Abirami  and
      Kumaresan, Prasanna Kumar  and
      Sai Prashanth, Karnati  and
      Sai Rishith Reddy, Mangamuru  and
      Chandu, Janakiram",
    editor = "Chakravarthi, Bharathi R.  and
      Priyadharshini, Ruba  and
      M, Anand Kumar  and
      Thavareesan, Sajeetha  and
      Sherly, Elizabeth",
    booktitle = "Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages",
    month = sep,
    year = "2023",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/dashboard/2023.dravidianlangtech-1.11/",
    pages = "80--87",
    abstract = "This paper discusses the submissions to the shared task on abusive comment detection in Tamil and Telugu codemixed social media text conducted as part of the third Workshop on Speech and Language Technologies for Dravidian Languages at RANLP 20239. The task encourages researchers to develop models to detect the contents containing abusive information in Tamil and Telugu codemixed social media text. The task has three subtasks - abusive comment detection in Tamil, Tamil-English and Telugu-English. The dataset for all the tasks was developed by collecting comments from YouTube. The submitted models were evaluated using macro F1-score, and prepared the rank list accordingly."
}