DETESTS at IberLEF 2022: DETEction and classification of racial STereotypes in Spanish

The aim of the competition is to detect and classify stereotypes in sentences from comments posted in Spanish in response to different online news articles related to immigration. A comment can contain multiple stereotypes belonging to different categories and, therefore, it may have multiple labels that need to be accurately detected. This scenario is known in the literature as a multi-label classification problem. However, to adapt the problem to a variety of participants’ interest, the task is designed in a hierarchical fashion by chaining two subtasks and allowing participants to either model the simple binary scenario or complete the entire pipeline by modeling the complex multi-label classification problem.