Making Better Informed Trust Decisions with Generalized Fact-Finding

Pasternack, Jeff; Roth, Dan

doi:10.5591/978-1-57735-516-8/IJCAI11-387

Making Better Informed Trust Decisions with Generalized Fact-Finding

Jeff Pasternack, Dan Roth

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2324-2328.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-387

Abstract

Information retrieval may suggest a document, and information extraction may tell us what it says, but which information sources do we trust and which assertions do we believe when different authors make conflicting claims? Trust algorithms known as fact-finders attempt to answer these questions, but consider only which source makes which claim, ignoring a wealth of background knowledge and contextual detail such as the uncertainty in the information extraction of claims from documents, attributes of the sources, the degree of similarity among claims, and the degree of certainty expressed by the sources. We introduce a new, generalized fact-finding framework able to incorporate this additional information into the fact-finding process. Experiments using several state-of-the-art fact-finding algorithms demonstrate that generalized fact-finders achieve significantly better performance than their original variants on both semi-synthetic and real-world problems.

Jeff Pasternack, and Dan Roth. 2011. Making Better Informed Trust Decisions with Generalized Fact-Finding. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2324–2328. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-387

@inproceedings{ijcai2011p387,
  title     = {Making Better Informed Trust Decisions with Generalized Fact-Finding},
  author    = {Pasternack, Jeff and Roth, Dan},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2324--2328},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-387},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-387},
}

TY  - CPAPER
TI  - Making Better Informed Trust Decisions with Generalized Fact-Finding
AU  - Pasternack, Jeff
AU  - Roth, Dan
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2324
EP  - 2328
DO  - 10.5591/978-1-57735-516-8/IJCAI11-387
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-387
ER  -