sentence1: we show , first , that both cnn features and word embeddings are good predictors of human judgments , and second , that these vectors can be further specialized in spatial knowledge if we update them by backpropagation when learning the model in the task of predicting spatial arrangements of objects .
sentence2: we show that the model succeeds in this task and , furthermore , that it is capable of predicting correct spatial arrangements for unseen objects if either cnn features or word embeddings of the objects are provided .