Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments
| dc.contributor.author | Ravikiran, M. | |
| dc.contributor.author | Chakravarthi, B.R. | |
| dc.contributor.author | Anand Kumar, M. | |
| dc.contributor.author | Sangeetha, S. | |
| dc.contributor.author | Rajalakshmi, R. | |
| dc.contributor.author | Thavareesan, S. | |
| dc.contributor.author | Ponnusamy, R. | |
| dc.contributor.author | Mahadevan, S. | |
| dc.date.accessioned | 2026-02-06T06:35:38Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in code-mixed Dravidian languages is limited to classifying whole comments without identifying part of it contributing to offensiveness. Such limitation is primarily due to the lack of annotated data for offensive spans. Accordingly, in this shared task, we provide Tamil-English code-mixed social comments with offensive spans. This paper outlines the dataset so released, methods, and results of the submitted systems. © 2022 Association for Computational Linguistics. | |
| dc.identifier.citation | DravidianLangTech 2022 - 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop, 2022, Vol., , p. 261-270 | |
| dc.identifier.uri | https://doi.org/ | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/29978 | |
| dc.publisher | Association for Computational Linguistics (ACL) | |
| dc.title | Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments |