Automatic link-detection in Encoded Archival Descriptions
Junte Zhang, Khairun Nisa Fachry, Jaap Kamps · UvA-DARE (University of Amsterdam) · 2008
In this paper we investigate how currently emerging link detection methods can help enrich encoded archival descriptions. We discuss link detection methods in general, and evaluate the identification of names both within, and across, archival descriptions. Our initial experiments suggest that we can automatically detect occurrences of person names with high accuracy, both within (F-score of 0.9620) and across (F-score of 1) archival descriptions. This allows us to create (pseudo) encoded archival context descriptions that provide novel means of navigation, improving access to the vast amounts of archival data.