par Efremova, Julia;Ranjbar-Sahraei, Bijan;Oliehoek, Frans F.A.;Calders, Toon
;Tuyls, Karl
Référence BNAIC, page (376-377)
Publication Publié, 2013
;Tuyls, KarlRéférence BNAIC, page (376-377)
Publication Publié, 2013
Article révisé par les pairs
| Résumé : | We demonstrate an interactive, web-based tool which helps historians to do Genealogical Entity Resolution. This work has two main goals: First, it uses Machine Learning (ML) algorithms to assist humanities researchers to perform Genealogical Entity Resolution. Second, it facilitates the generation of benchmark data for computer scientists to improve available ML-based Entity Resolution techniques. |



