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arxiv 2111.03375 v1 pith:SSHDXSJB submitted 2021-11-05 cs.CL

Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages

Bharathi Raja Chakravarthi , Dhivya Chinnappa , Ruba Priyadharshini , Anand Kumar Madasamy , Sangeetha Sivanesan , Subalalitha Chinnaudayar Navaneethakrishnan , Sajeetha Thavareesan , Dhanalakshmi Vadivel
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Rahul Ponnusamy Prasanna Kumar Kumaresan
This is my paper
classification cs.CL
keywords languagelanguagesoffensivedravidianidentificationsocialtaskapproaches
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification in local languages is essential to moderate the social media content, in this paper we work with three Dravidian languages, namely Malayalam, Tamil, and Kannada, that are under-resourced. We present an evaluation task at FIRE 2020- HASOC-DravidianCodeMix and DravidianLangTech at EACL 2021, designed to provide a framework for comparing different approaches to this problem. This paper describes the data creation, defines the task, lists the participating systems, and discusses various methods.

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