@InProceedings{rajendran-zhang-abdulmageed:2019:S19-2,
  author    = {Rajendran, Arun  and  Zhang, Chiyu  and  Abdul-Mageed, Muhammad},
  title     = {UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {775--781},
  abstract  = {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 F1-score). For sub-task C, among the 65 participating teams, our system ranks 9th (with 0.587 macro F1-score).},
  url       = {http://www.aclweb.org/anthology/S19-2136}
}