Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI
arXiv:2607.09324v1 Announce Type: new Abstract: Identifying and assigning keywords at scale is a technical, practical, and ethical challenge for crowdsourced collections. This article reports the findings of the "Extracting Keywords from Crowdsourced Collections" project, which used the Their Finest Hour Online Archive, a crowdsourced Second World War digital collection hosted by the University of Oxford, as a case study. The project evaluated three Natural Language Processing approaches to auto...
arXiv cs.CL
·Miguel Arana-Catania, Catherine Conisbee, Matthew Kidd
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