Our model is similar in structure to an autoencoder.
instead of reconstructing the input x from the hidden layer h(x), its reconstruction function r receives a low dimensional representation of the non-pivot features of the input (h(x np ), where x np is the non-pivot representation of x (Section 3)) and predicts whether each of the pivot features appears in this example or not.