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

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dc.contributor.authorChakravarthi, B.R.
dc.contributor.authorAnand Kumar, M.
dc.contributor.authorMccrae, J.P.
dc.contributor.authorPremjith, B.
dc.contributor.authorPadannayil, K.P.
dc.contributor.authorMandl, T.
dc.date.accessioned2026-02-06T06:36:56Z
dc.date.issued2020
dc.description.abstractWe 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. © 2020 Copyright for this paper by its authors.
dc.identifier.citationCEUR Workshop Proceedings, 2020, Vol.2826, , p. 112-120
dc.identifier.issn16130073
dc.identifier.urihttps://doi.org/
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30776
dc.publisherCEUR-WS
dc.subjectDravidian languages
dc.subjectMalayalam
dc.subjectOffensive language identification
dc.subjectTamil
dc.titleOverview of the track on HASOC-offensive Language Identification-DravidianCodeMix

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