New EHRI Document Blog: Using Named Entity Recognition to Enhance Access to a Museum Catalog
New EHRI Document BLOG: Using Named Entity Recognition to Enhance Access to a Museum Catalog
In this latest EHRI Document Blog post Ivelina Nikolova (ONTOTEXT) and Michael Levy (USHMM) discuss how applicable services for automatic extraction of person names and locations are to oral history transcripts with the aim of enhancing access to a museum catalog.
Giving an insight into the challenges they had to overcome, the post shows that there is certainly potential for named-entity recognition to assist catalogers with processing historical testimonies. The algorithms for automatic information extraction can work with comparatively high accuracy. This could greatly speed up the human work when large volumes of data are to be processed and will ultimately bolster the discoverability of collections to better serve users.
Read this blog post on the EHRI Document Blog.