UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data
Arun Kumar Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed · 2019
We examine learning offensive content on Twitter with limited, imbalanced data.For the purpose, we investigate the utility of using various data enhancement methods with a host of classical ensemble classifiers.Among the 75 participating teams in SemEval-2019 sub-task B, our system ranks 6th (with 0.706 macro F 1score).For sub-task C, among the 65 participating teams, our system ranks 9th (with 0.587 macro F 1 -score).