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.
best models were chosen among 20 epochs of training by monitoring validation MRR.