April 1, 2024, 4:42 a.m. | Jingyuan Wang, Shengdong Xu, Yang Yang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.19713v1 Announce Type: cross
Abstract: This report provide a detailed description of the method that we proposed in the TRAC-2024 Offline Harm Potential dentification which encloses two sub-tasks. The investigation utilized a rich dataset comprised of social media comments in several Indian languages, annotated with precision by expert judges to capture the nuanced implications for offline context harm. The objective assigned to the participants was to design algorithms capable of accurately assessing the likelihood of harm in given situations and …

abstract arxiv cs.cl cs.lg dataset expert harm identification indian indian languages investigation judges languages media offline precision report social social media tasks type

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