A Template Report Detection System Based on Semantic Text Similarity

dc.contributor.authorWeber, Sarah
dc.contributor.mentorPustulka, Elzbieta
dc.contributor.partnerMDPI, Basel
dc.date.accessioned2025-12-15T13:31:54Z
dc.date.issued2025
dc.description.abstractWhile many major scientific publishers utilise systems to detect verbatim text reuse, these tools are often architecturally limited, leaving the peer-review process vulnerable to sophisticated threats like paraphrased content and coordinated fraud among different reviewers.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/54684
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialBasel
dc.subject.ddc330 - Wirtschaft
dc.titleA Template Report Detection System Based on Semantic Text Similarity
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeBachelor
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutBachelor of Sciencede_CH
relation.isMentorOfPublication3e7f2a0a-692e-4652-b305-7a7e19e011de
relation.isMentorOfPublication.latestForDiscovery3e7f2a0a-692e-4652-b305-7a7e19e011de
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Bachelor of Science