all AI news
NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification
April 1, 2024, 4:42 a.m. | Jingyuan Wang, Shengdong Xu, Yang Yang
cs.LG updates on arXiv.org arxiv.org
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
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US