@InProceedings{niewiski-EtAl:2019:S19-2,
  author    = {Niewiński, Piotr  and  Wawer, Aleksander  and  Pszona, Maria  and  Janicka, Maria},
  title     = {TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1172--1175},
  abstract  = {The article describes our submission to SemEval 2019 Task 8 on Fact-Checking in Community Forums. The systems under discussion participated in Subtask A: decide whether a question asks for factual information, opinion/advice or is just socializing. Our primary submission was ranked as the second one among all participants in the official evaluation phase. The article presents our primary solution: Deeply Regularized Residual Neural Network (DRR NN) with Universal Sentence Encoder embeddings. This is followed by a description of two contrastive solutions based on ensemble methods.},
  url       = {http://www.aclweb.org/anthology/S19-2205}
}