As the results in Table 1 show, the current implementation that uses DBpedia Spotlight instead of KanDis for entity linking step, on average achieves a 5% lower accuracy on the unsupervised binary task than the original implementation (Hulpus , et al., 2019).
it achieves a 4% better accuracy on the binary classification between original articles and their first level of simplification (0-1).