@InProceedings{thorne-vlachos:2017:EACLDemo,
  author    = {Thorne, James  and  Vlachos, Andreas},
  title     = {An Extensible Framework for Verification of Numerical Claims},
  booktitle = {Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {37--40},
  abstract  = {In this paper we present our automated fact checking system demonstration which
	we developed in order to participate in the Fast and Furious Fact Check
	challenge. We focused on simple numerical claims such as “population of
	Germany in 2015 was 80 million” which comprised a quarter of the test
	instances in the challenge, achieving 68% accuracy. Our system extends previous
	work on semantic parsing and claim identification to handle temporal
	expressions and knowledge bases consisting of multiple tables, while relying
	solely on automatically generated training data. We demonstrate the extensible
	nature of our system by evaluating it on relations used in previous work. We
	make our system publicly available so that it can be used and extended by the
	community.},
  url       = {http://aclweb.org/anthology/E17-3010}
}