@InProceedings{garain-basu:2019:S19-22,
  author    = {Garain, Avishek  and  Basu, Arpan},
  title     = {The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {759--762},
  abstract  = {This system paper is a description of the system submitted to “SemEval-2019 Task 6”, where we had to detect offensive language in Twitter. There were two specific target audiences, immigrants and women. The language of the tweets was English. We were required to first detect whether a tweet contains offensive content, and then we had to find out whether the tweet was targeted against some individual, group or other entity. Finally we were required to classify the targeted audience.},
  url       = {http://www.aclweb.org/anthology/S19-2133}
}