@inproceedings{chakravarthi-etal-2021-findings-shared,
  title        = {Findings of the Shared Task on Offensive Language Identification in {Tamil}, {Malayalam}, and {Kannada}},
  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},
  year         = 2021,
  month        = apr,
  booktitle    = {Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages},
  publisher    = {Association for Computational Linguistics},
  address      = {Kyiv},
  pages        = {133--145},
  url          = {https://www.aclweb.org/anthology/2021.dravidianlangtech-1.17},
  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 https://competitions.codalab.org/competitions/27654, and present an overview of the methods and the results of the competing systems.}
}

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P.","Sherly, E."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada","author":[{"propositions":[],"lastnames":["Chakravarthi"],"firstnames":["Bharathi","Raja"],"suffixes":[]},{"propositions":[],"lastnames":["Priyadharshini"],"firstnames":["Ruba"],"suffixes":[]},{"propositions":[],"lastnames":["Jose"],"firstnames":["Navya"],"suffixes":[]},{"propositions":[],"lastnames":["Kumar","M"],"firstnames":["Anand"],"suffixes":[]},{"propositions":[],"lastnames":["Mandl"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Kumaresan"],"firstnames":["Prasanna","Kumar"],"suffixes":[]},{"propositions":[],"lastnames":["Ponnusamy"],"firstnames":["Rahul"],"suffixes":[]},{"propositions":[],"lastnames":["R","L"],"firstnames":["Hariharan"],"suffixes":[]},{"propositions":[],"lastnames":["McCrae"],"firstnames":["John","P."],"suffixes":[]},{"propositions":[],"lastnames":["Sherly"],"firstnames":["Elizabeth"],"suffixes":[]}],"year":"2021","month":"April","booktitle":"Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages","publisher":"Association for Computational Linguistics","address":"Kyiv","pages":"133–145","url":"https://www.aclweb.org/anthology/2021.dravidianlangtech-1.17","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 https://competitions.codalab.org/competitions/27654, and present an overview of the methods and the results of the competing systems.","bibtex":"@inproceedings{chakravarthi-etal-2021-findings-shared,\n title = {Findings of the Shared Task on Offensive Language Identification in {Tamil}, {Malayalam}, and {Kannada}},\n 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},\n year = 2021,\n month = apr,\n booktitle = {Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages},\n publisher = {Association for Computational Linguistics},\n address = {Kyiv},\n pages = {133--145},\n url = {https://www.aclweb.org/anthology/2021.dravidianlangtech-1.17},\n abstract = {Detecting offensive language in social media in local languages is critical for moderating user-generated content. 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