Warrant generation through deep learning

Alkhawaldeh, Fatima, Yuan, Tommy and Kazakov, Dimitar Lubomirov orcid.org/0000-0002-0637-8106 (2021) Warrant generation through deep learning. In: Wyld, David C. and al., et, (eds.) Seventh International Conference on Natural Language Computing (NATL 2021), Proc. of. International Conference on Natural Language Computing, 27 Nov 2021 - 28 Feb 2022 Computer Science & Information Technology (CS & IT) . AIRCC Publishing Corporation , GBR , pp. 53-75.



Keywords: Toulmin model, warrant, Fact-checking, Deep learning
  • Accepted: 21 August 2021
  • Published: 27 November 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 08 Feb 2022 10:00
Last Modified: 31 Jan 2024 01:34
Published Version: https://doi.org/10.5121/csit.2021.112005
Status: Published
Publisher: AIRCC Publishing Corporation
Series Name: Computer Science & Information Technology (CS & IT)
Refereed: No
Identification Number: https://doi.org/10.5121/csit.2021.112005


Filename: csit112005_WarrantGeneration.pdf

Description: csit112005-WarrantGeneration

Licence: CC-BY 2.5