@InProceedings{rusert-srinivasan:2019:S19-2,
  author    = {Rusert, Jonathan  and  Srinivasan, Padmini},
  title     = {NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {704--711},
  abstract  = {This paper proposes a system for OffensEval (SemEval 2019 Task 6), which calls for a system to classify offensive language into several categories. Our system is a text based CNN, which learns only from the provided training data. Our system achieves 80 - 90\% accuracy for the binary classification problems (offensive vs not offensive and targeted vs untargeted) and 63\% accuracy for trinary classification (group vs individual vs other).},
  url       = {http://www.aclweb.org/anthology/S19-2125}
}