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Fact Checking from Natural Text with Probabilistic Soft Logic

  • Nouf Bindris
  • Saatviga Sudhahar
  • Nello Cristianini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11191)

Abstract

We demonstrate a method to support fact-checking of statements found in natural text such as online news, encyclopedias or academic repositories, by detecting if they violate knowledge that is implicitly present in a reference corpus. The method combines the use of information extraction techniques with probabilistic reasoning, allowing for inferences to be performed starting from natural text. We present two case studies, one in the domain of verifying claims about family relations, the other about political relations. This allows us to contrast the case where ground truth is available about the relations and the rules that can be applied to them (families) with the case where neither relations nor rules are clear cut (politics).

Keywords

Fact checking Information extraction Probabilistic soft logic 

Notes

Acknowledgements

NC and SS were supported by ERC, NB was supported by a grant from KSU, Saudi Arabia.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Nouf Bindris
    • 1
  • Saatviga Sudhahar
    • 1
  • Nello Cristianini
    • 1
  1. 1.Department of Computer ScienceUniversity of BristolBristolUK

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