The results show that the global training objective achieves best scores on both MAP and GAP for classifiers and lowdimensional embedding models.
one of the main drawbacks in existing KBs is that they are incomplete and are missing important facts (West et al., 2014), jeopardizing their usefulness in downstream tasks such as question answering.