For the only non-fictional corpus, RW_nonfict, the scores drop by a large margin. This is because the algorithm finds anchors in sections without DS and propagates those incorrectly to the surrounding section. Those incorrect detected anchors are sentence written in first person or rhetorical questions, which are mistaken as DS. This resulted in about 1800 false positives while only 89 sentences of DS were not detected.