An Evaluation of the Effect of Reference Strings and Segmentation on Citation Matching

Abstract

In this paper, three different possible inputs (reference strings, reference segments and a combination of reference strings and segments) were tested to find the best performing strategy for citation matching. Our evaluation on a manually curated gold standard showed that the input data consisting of the combination of reference segments and reference strings lead to the best result. In addition, the usage of the probabilities of the segmentation improve the result when only features based on reference segments are considered.