@inproceedings{saha-etal-2023-blp,
title = "{BLP}-2023 Task 1: Violence Inciting Text Detection ({VITD})",
author = "Saha, Sourav and
Junaed, Jahedul Alam and
Saleki, Maryam and
Rahouti, Mohamed and
Mohammed, Nabeel and
Amin, Mohammad Ruhul",
editor = "Alam, Firoj and
Kar, Sudipta and
Chowdhury, Shammur Absar and
Sadeque, Farig and
Amin, Ruhul",
booktitle = "Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.banglalp-1.33",
doi = "10.18653/v1/2023.banglalp-1.33",
pages = "255--265",
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",
}
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%0 Conference Proceedings
%T BLP-2023 Task 1: Violence Inciting Text Detection (VITD)
%A Saha, Sourav
%A Junaed, Jahedul Alam
%A Saleki, Maryam
%A Rahouti, Mohamed
%A Mohammed, Nabeel
%A Amin, Mohammad Ruhul
%Y Alam, Firoj
%Y Kar, Sudipta
%Y Chowdhury, Shammur Absar
%Y Sadeque, Farig
%Y Amin, Ruhul
%S Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F saha-etal-2023-blp
%X 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
%R 10.18653/v1/2023.banglalp-1.33
%U https://aclanthology.org/2023.banglalp-1.33
%U https://doi.org/10.18653/v1/2023.banglalp-1.33
%P 255-265
Markdown (Informal)
[BLP-2023 Task 1: Violence Inciting Text Detection (VITD)](https://aclanthology.org/2023.banglalp-1.33) (Saha et al., BanglaLP 2023)
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.