@InProceedings{vec-EtAl:2018:ALW2,
  author    = {Švec, Andrej  and  Pikuliak, Matúš  and  Simko, Marian  and  Bielikova, Maria},
  title     = {Improving Moderation of Online Discussions via Interpretable Neural Models},
  booktitle = {Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {60--65},
  abstract  = {Growing amount of comments make online discussions difficult to moderate by human moderators only. Antisocial behavior is a common occurrence that often discourages other users from participating in discussion. We propose a neural network based method that partially automates the moderation process. It consists of two steps. First, we detect inappropriate comments for moderators to see. Second, we highlight inappropriate parts within these comments to make the moderation faster. We evaluated our method on data from a major Slovak news discussion platform.},
  url       = {http://www.aclweb.org/anthology/W18-5108}
}