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Aggregating pairwise semantic differences for few-shot claim verification

dc.contributor.authorZeng, Xen_US
dc.contributor.authorZubiaga, Aen_US
dc.date.accessioned2023-07-20T11:21:09Z
dc.date.available2022-09-29en_US
dc.date.issued2022en_US
dc.identifier.otherARTN e1137
dc.identifier.otherARTN e1137
dc.identifier.otherARTN e1137en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/89670
dc.relation.ispartofPEERJ COMPUTER SCIENCEen_US
dc.rightsThis item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectClaim verificationen_US
dc.subjectMisinformation detectionen_US
dc.subjectNatural language processingen_US
dc.subjectFew-shot classificationen_US
dc.subjectVeracity classificationen_US
dc.subjectClaim validationen_US
dc.subjectAutomated fact-checkingen_US
dc.titleAggregating pairwise semantic differences for few-shot claim verificationen_US
dc.typeArticle
dc.rights.holder© 2022 The Author(s). Published by PeerJ
dc.identifier.doi10.7717/peerj-cs.1137en_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000952556100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume8en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderLearning from COVID-19: An AI-enabled evidence-driven framework for claim veracity assessment during pandemics::Engineering and Physical Sciences Research Councilen_US


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This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.