Harnessing Historical Corrections to Build Test Collections for Named Entity Disambiguation [chapter]

Florian Reitz
2018 Lecture Notes in Computer Science  
Matching mentions of persons to the actual persons (the name disambiguation problem) is central for several digital library applications. Scientists have been working on algorithms to create this matching for decades without finding a universal solution. One problem is that test collections for this problem are often small and specific to a certain collection. In this work, we present an approach that can create large test collections from historical metadata with minimal extra cost. We apply
more » ... is approach to the DBLP collection to generate two freely available test collections. One collection focuses on the properties of defects and one on the evaluation of disambiguation algorithms.
doi:10.1007/978-3-030-00066-0_4 fatcat:jcqoka6ajnhpvndkw5exeyltyi