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Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix

Publication Type : Conference Paper

Publisher : FIRE

Source : FIRE (2020)

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Electronics and Communication

Year : 2020

Abstract : We present the results and main findings of the HASOC-Offensive Language Identification on code mixed Dravidian languages. The task featured two tasks. Task 1 is about offensive language identification in Malayalam language where the comment were written in both native script and Latin script. Task 2 is about offensive language identification in Tamil and Malayalam languages where the comments were written in Latin script (non-native script). For both the task, given a comment the participants should develop a system to classify the text into offensive or not-offensive. In total 96 participants participated and 12 participants submitted the papers. In this paper, we present the task, data, the results and discuss the system submission and methods used by participants.

Cite this Research Publication : B. Raja Chakravarthi, Anand Kumar M., John P. McCrae, B. Premjith, Dr. Soman K. P., and Mandl T., “Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix”, in FIRE, 2020.

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