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This paper presents our work for the Violence Inciting Text Detection sharedtask in the First Workshop on Bangla Language Processing. Social media hasaccelerated the propagation of hate and violence-inciting speech in society. Itis essential to develop efficient mechanisms to detect and curb the propagationof such texts. The problem of detecting violence-inciting texts is furtherexacerbated in low-resource settings due to sparse research and less data. Thedata provided in the shared task consists of texts in the Bangla language,where each example is classified into one of the three categories defined basedon the types of violence-inciting texts. We try and evaluate several BERT-basedmodels, and then use an ensemble of the models as our final submission. Oursubmission is ranked 10th in the final leaderboard of the shared task with amacro F1 score of 0.737.

Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection