Abstract
We present the winning approach to the TRAC 2024 Shared Task on Offline Harm Potential Identification (HarmPot-ID). The task focused on low-resource Indian languages and consisted of two sub-tasks: 1a) predicting the offline harm potential and 1b) detecting the most likely target(s) of the offline harm. We explored low-source domain specific, cross-lingual, and monolingual transformer models and submitted the aggregate predictions from the MuRIL and BERT models. Our approach achieved 0.74 micro-averaged F1-score for sub-task 1a and 0.96 for sub-task 1b, securing the 1st rank for both sub-tasks in the competition.
| Original language | English |
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| Title of host publication | Proceedings of the Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024 |
| Subtitle of host publication | [TRAC-2024 Workshop] |
| Editors | Ritesh Kumar, Atul Kr. Ojha, Atul Kr. Ojha, Shervin Malmasi, Bharathi Raja Chakravarthi, Bornini Lahiri, Siddharth Singh, Shyam Ratan |
| Publisher | ACL Anthology |
| Pages | 21-26 |
| Number of pages | 6 |
| ISBN (Electronic) | 9782493814470 |
| Publication status | Published - 2024 |
| Event | 4th Workshop on Threat, Aggression and Cyberbullying, TRAC 2024 - Torino, Italy Duration: 20 May 2024 → … |
Publication series
| Name | TRAC 2024: 4th Workshop on Threat, Aggression and Cyberbullying at LREC-COLING 2024 - Workshop Proceedings |
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Conference
| Conference | 4th Workshop on Threat, Aggression and Cyberbullying, TRAC 2024 |
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| Country/Territory | Italy |
| City | Torino |
| Period | 20/05/24 → … |
Bibliographical note
Publisher Copyright:© 2024 ELRA Language Resource Association.