@inproceedings{chakravarthi-etal-2021-findings-shared,
    title = "Findings of the Shared Task on Offensive Language Identification in {T}amil, {M}alayalam, and {K}annada",
    author = "Chakravarthi, Bharathi Raja  and
      Priyadharshini, Ruba  and
      Jose, Navya  and
      Kumar M, Anand  and
      Mandl, Thomas  and
      Kumaresan, Prasanna Kumar  and
      Ponnusamy, Rahul  and
      R L, Hariharan  and
      McCrae, John P.  and
      Sherly, Elizabeth",
    editor = "Chakravarthi, Bharathi Raja  and
      Priyadharshini, Ruba  and
      Kumar M, Anand  and
      Krishnamurthy, Parameswari  and
      Sherly, Elizabeth",
    booktitle = "Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages",
    month = apr,
    year = "2021",
    address = "Kyiv",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2021.dravidianlangtech-1.17/",
    pages = "133--145",
    abstract = "Detecting offensive language in social media in local languages is critical for moderating user-generated content. Thus, the field of offensive language identification in under-resourced Tamil, Malayalam and Kannada languages are essential. As the user-generated content is more code-mixed and not well studied for under-resourced languages, it is imperative to create resources and conduct benchmarking studies to encourage research in under-resourced Dravidian languages. We created a shared task on offensive language detection in Dravidian languages. We summarize here the dataset for this challenge which are openly available at \url{https://competitions.codalab.org/competitions/27654}, and present an overview of the methods and the results of the competing systems."
}