  This paper presents the participation of the MiniTrue team in the EXIST 2021
Challenge on the sexism detection in social media task for English and Spanish.
Our approach combines the language models with a simple voting mechanism for
the sexist label prediction. For this, three BERT based models and a voting
function are used. Experimental results show that our final model with the
voting function has achieved the best results among our four models, which
means that our voting mechanism brings an extra benefit to our system.
Nevertheless, we also observe that our system is robust to data sources and
languages.
