Thorne, J. and Vlachos, A. orcid.org/0000-0003-2123-5071 (2017) An Extensible Framework for Verification of Numerical Claims. In: Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics. 15th Conference of the European Chapter of the Association for Computational Linguistics, 03/04/2017-07/04/2017, Valencia, Spain. Association for Computational Linguistics , pp. 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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Association for Computational Linguistics. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 SUMMA - 688139 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 May 2017 10:54 |
Last Modified: | 10 May 2017 10:58 |
Published Version: | http://aclweb.org/anthology/E17-3010 |
Status: | Published |
Publisher: | Association for Computational Linguistics |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116023 |