Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study

Background: There is a wide variety of potential sources from which insight into the antiquities trade could be culled, from newspaper articles to auction catalogues, to court dockets, to personal archives, if it could all be systematically examined. We explore the use of a large language model, GPT...

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Veröffentlicht in:	Open research Europe Jg. 3; S. 100
Hauptverfasser:	Graham, Shawn, Yates, Donna, El-Roby, Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London, UK F1000 Research Limited 2023 F1000 Research Ltd
Schlagworte:	antiquities trade eng gpt3 illicit antiquities knowledge graph knowledge graph embedding model Large language models
ISSN:	2732-5121, 2732-5121
Online-Zugang:	Volltext
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