Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches
Emad Kebriaei, Samaneh Karimi, Nazanin Sabri, Azadeh Shakery · 2019
In this paper, the used methods and the results obtained by our team, entitled Emad, on the OffensEval 2019 shared task organized at Se-mEval 2019 are presented.The OffensEval shared task includes three sub-tasks namely Offensive language identification, Automatic categorization of offense types and Offense target identification.We participated in subtask A and tried various methods including traditional machine learning methods, deep learning methods and also a combination of the first two sets of methods.We also proposed a data augmentation method using word embedding to improve the performance of our methods.The results show that the augmentation approach outperforms other methods in terms of macro-f1.