Both aspects artificially raise the level of agreement between RST trees, especially when using manual EDU segmentation.
all the parsers in our sample except (Sagae, 2009;Heilman and Sagae, 2015) predict binary trees over manually segmented EDUs and evaluate them against right-heavy binarized reference trees.