@InProceedings{ning-lin-zhong:2019:S19-2,
  author    = {Ning, Zhiyuan  and  Lin, Yuanzhen  and  Zhong, Ruichao},
  title     = {Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1037--1040},
  abstract  = {This paper describes the team peter-parker’s participation in Hyperpartisan News Detection task (SemEval-2019 Task 4), which requires to classify whether a given news article is bias or not. We decided to use JAVA to do the article parsing tool and the BERT-Based model to do the bias prediction. Furthermore, we will show experiment results with analysis.},
  url       = {http://www.aclweb.org/anthology/S19-2181}
}