Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
Ehsan Doostmohammadi, Hossein Sameti, Ali Saffar · 2019
This paper presents the models submitted by Ghmerti team for subtasks A and B of the Of-fensEval shared task at SemEval 2019.Offen-sEval addresses the problem of identifying and categorizing offensive language in social media in three subtasks; whether or not a content is offensive (subtask A), whether it is targeted (subtask B) towards an individual, a group, or other entities (subtask C).The proposed approach includes character-level Convolutional Neural Network, word-level Recurrent Neural Network, and some preprocessing.The performance achieved by the proposed model for subtask A is 77.93% macro-averaged F 1 -score.