@InProceedings{naderi-hirst:2018:FEVER,
  author    = {Naderi, Nona  and  Hirst, Graeme},
  title     = {Automated Fact-Checking of Claims in Argumentative Parliamentary Debates},
  booktitle = {Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {60--65},
  abstract  = {We present an automated approach to distinguish true, false, stretch, and dodge statements in questions and answers in the Canadian Parliament. We leverage the truthfulness annotations of a U.S. fact-checking corpus by training a neural net model and incorporating the prediction probabilities into our models.},
  url       = {http://www.aclweb.org/anthology/W18-5509}
}