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Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/14989
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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.authorSoman K.P.
dc.contributor.authorMandl T.
dc.date.accessioned2021-05-05T10:16:09Z-
dc.date.available2021-05-05T10:16:09Z-
dc.date.issued2020
dc.identifier.citationCEUR Workshop Proceedings , Vol. 2826 , , p. 112 - 120en_US
dc.identifier.urihttps://doi.org/
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/14989-
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.en_US
dc.titleOverview of the track on HASOC-offensive Language Identification-DravidianCodeMixen_US
dc.typeConference Paperen_US
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