@InProceedings{risch-krestel:2018:W18-441,
  author    = {Risch, Julian  and  Krestel, Ralf},
  title     = {Aggression Identification Using Deep Learning and Data Augmentation},
  booktitle = {Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018)},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {150--158},
  abstract  = {Social media platforms allow users to share and discuss their opinions online. However, a minority of user posts is aggressive, thereby hinders respectful discussion, and — at an extreme level — is liable to prosecution. The automatic identification of such harmful posts is important, be- cause it can support the costly manual moderation of online discussions. Further, the automation allows unprecedented analyses of discussion datasets that contain millions of posts.},
  url       = {http://www.aclweb.org/anthology/W18-4418}
}