Finally, in order to understand whether the noisy-OR Bayesian network is useful for generalizing across patterns into latent events, we added a baseline that extracts all patterns from the test collection following the same COLLECTIONTOPAT-TERNS algorithm (including the application of the linguistically motivated heuristics), and then produces a headline straightaway from the most frequent pattern extracted.
the only difference with respect to HEADY is that in this case no generalization through the Noisy-OR network is carried out, and that headlines are generated from patterns directly observed in the test news collections.