Findings of shared task on offensive language identification in Tamil and Malayalam

Kumaresan, P.K.; Premjith; Sakuntharaj, R.; Thavareesan, S.; Navaneethakrishnan, S.; Madasamy, A.K.; Chakravarthi, B.R.; McCrae, J.P.

Home
→
Faculty of Technological Studies
→
Research Papers
→
Department of Information and Communication Technology
→
View Item

dc.contributor.author	Kumaresan, P.K.
dc.contributor.author	Premjith
dc.contributor.author	Sakuntharaj, R.
dc.contributor.author	Thavareesan, S.
dc.contributor.author	Navaneethakrishnan, S.
dc.contributor.author	Madasamy, A.K.
dc.contributor.author	Chakravarthi, B.R.
dc.contributor.author	McCrae, J.P.
dc.date.accessioned	2025-05-19T05:33:55Z
dc.date.available	2025-05-19T05:33:55Z
dc.date.issued	2021-04-20
dc.identifier.uri	http://drr.vau.ac.lk/handle/123456789/1179
dc.description.abstract	We present the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its organisation, and the submitted systems. The identification of offensive language was viewed as a classification task. For this, 16 teams participated in identifying offensive language from Tamil-English code mixed data, 11 teams for Malayalam-English code mixed data and 14 teams for Tamil data. The teams detected offensive language using various machine learning and deep learning classification models. This paper has analysed those benchmark systems to find out how well they accommodate a code-mixed scenario in Dravidian languages, focusing on Tamil and Malayalam.	en_US
dc.language.iso	en	en_US
dc.publisher	ACM	en_US
dc.source.uri	https://dl.acm.org/doi/abs/10.1145/3503162.3503179	en_US
dc.subject	HASOC-Dravidian	en_US
dc.title	Findings of shared task on offensive language identification in Tamil and Malayalam	en_US
dc.type	Conference abstract	en_US
dc.identifier.proceedings	13th Annual Meeting of the Forum for Information Retrieval Evaluation	en_US