BLP-2023 Task 1: Violence Inciting Text Detection (VITD)

Sourav Saha, Jahedul Alam Junaed, Maryam Saleki, Mohamed Rahouti, Nabeel Mohammed, Mohammad Ruhul Amin


Abstract
We present the comprehensive technical description of the outcome of the BLP shared task on Violence Inciting Text Detection (VITD).In recent years, social media has become a tool for groups of various religions and backgrounds to spread hatred, leading to physicalviolence with devastating consequences. To address this challenge, the VITD shared task was initiated, aiming to classify the level of violence incitement in various texts. The competition garnered significant interest with a total of 27 teams consisting of 88 participants successfully submitting their systems to the CodaLab leaderboard. During the post-workshop phase, we received 16 system papers on VITD from those participants. In this paper, we intend to discuss the VITD baseline performance, error analysis of the submitted models, and provide a comprehensive summary of the computational techniques applied by the participating teams
Anthology ID:
2023.banglalp-1.33
Volume:
Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
Month:
December
Year:
2023
Address:
Singapore
Editors:
Firoj Alam, Sudipta Kar, Shammur Absar Chowdhury, Farig Sadeque, Ruhul Amin
Venue:
BanglaLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
255–265
Language:
URL:
https://aclanthology.org/2023.banglalp-1.33
DOI:
10.18653/v1/2023.banglalp-1.33
Bibkey:
Cite (ACL):
Sourav Saha, Jahedul Alam Junaed, Maryam Saleki, Mohamed Rahouti, Nabeel Mohammed, and Mohammad Ruhul Amin. 2023. BLP-2023 Task 1: Violence Inciting Text Detection (VITD). In Proceedings of the First Workshop on Bangla Language Processing (BLP-2023), pages 255–265, Singapore. Association for Computational Linguistics.
Cite (Informal):
BLP-2023 Task 1: Violence Inciting Text Detection (VITD) (Saha et al., BanglaLP 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/dois-2013-emnlp/2023.banglalp-1.33.pdf