@InProceedings{zhang-rajendran-abdulmageed:2019:S19-2,
  author    = {Zhang, Chiyu  and  Rajendran, Arun  and  Abdul-Mageed, Muhammad},
  title     = {UBC-NLP at SemEval-2019 Task 4: Hyperpartisan News Detection With Attention-Based Bi-LSTMs},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1072--1077},
  abstract  = {We present our deep learning models submitted to the SemEval-2019 Task 4 competition focused at Hyperpartisan News Detection. We acquire best results with a Bi-LSTM network equipped with a self-attention mechanism. Among 33 participating teams, our submitted system ranks top 7 (65.3\% accuracy) on the `labels-by-publisher' sub-task and top 24 out of 44 teams (68.3\% accuracy) on the `labels-by-article' sub-task (65.3\% accuracy). We also report a model that scores higher than the 8th ranking system (78.5\% accuracy) on the `labels-by-article' sub-task.},
  url       = {http://www.aclweb.org/anthology/S19-2188}
}