Despite the fact that they use different documents for training the topic models from those used for evaluating segmentation quality, the evaluation is still tainted because snippets from the original documents appear in multiple artificial documents -some of which belong to the the training set and others to the test set, as admitted by <cite>Riedl and Biemann (2012)</cite> and this is why their reported performance on this dataset is overestimated.