For example, while run 4 is better overall, runs 1-3 outperform it on all but the headlines and FNWN datasets, i.e., the test datasets that were not present in the training data.
it is clear that the source-specific models are beneficial when the training data is in-domain, but a combined model is more beneficial when no such training data is available.