In this paper, we discuss the nlpBDpatriots entry to the shared task on Violence Inciting Text Detection (VITD) organized as part of the first workshop on Bangla Language Processing (BLP) co-located with EMNLP. The aim of this task is to identify and classify the violent threats, that provoke further unlawful violent acts. Our best-performing approach for the task is two-step classification using back translation and multilinguality which ranked 6th out of 27 teams with a macro F1 score of 0.74.

翻译：本文介绍了nlpBDpatriots团队参与暴力煽动文本检测（VITD）共享任务的方案，该任务隶属于首次孟加拉语处理研讨会（BLP），与EMNLP会议同期举办。该任务旨在识别和分类可能引发进一步非法暴力行为的暴力威胁。我们提出的最优方法采用基于反向翻译与多语言机制的两步分类策略，最终以0.74的宏F1分数在27支参赛队伍中排名第6。