An extension to the Universal Schema approach was proposed by (Toutanova et al., 2015), where representations of text relations are formed compositionally by Convolutional Neural Networks (CNNs) and then composed with entity vectors by a bilinear model to score a fact.
these models show only moderate improvement when incorporating tex-  A limitation of the Universal Schema approach for joint embedding of KBs and text is that information about the correspondence between KB and text relations is only implicitly available through their co-occurrence with entities.