It may be argued that although the proposed model is not trained on parallel data, it takes advantage of the fact that the textual resources used for development come from the same sources as the test data (i.e., Wikipedia).
the better performance can be attributed to having a better vocabulary coverage (covering more entities, verbs, nouns, etc.