@InProceedings{bauwelinck-EtAl:2019:S19-2,
  author    = {Bauwelinck, Nina  and  Jacobs, Gilles  and  Hoste, Veronique  and  Lefever, Els},
  title     = {LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {436--440},
  abstract  = {This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate speech against immigrants and women in Twitter (hatEval). We considered a supervised classification-based approach to detect hate speech in English tweets, which combines a variety of standard lexical and syntactic features with specific features for capturing offensive language. Our experimental results show good classification performance on the training data, but a considerable drop in recall on the held-out test set.},
  url       = {http://www.aclweb.org/anthology/S19-2077}
}