INGEOTEC at SemEval-2020 Task 12: Multilingual Classification of Offensive Text
Sabino Miranda‐Jiménez, Eric S. Téllez, Mario Graff, Daniela Moctezuma · 2020
This paper describes our participation in OffensEval challenges for English, Arabic, Danish, Turkish, and Greek languages.We used several approaches, such as µTC, TextCategorization, and EvoMSA.Best results were achieved with EvoMSA, which is a multilingual and domainindependent architecture that combines the prediction from different knowledge sources to solve text classification problems.