Before revision:  This  embedding makes it possible to predict which verbs will be applicable to a given object, as captured in human judgments of affordance. We show that the dimensions learned are interpretable, and that they correspond to patterns of interaction with objects . Finally , we show that they can be used to predict other dimensions of object representation that have been shown to underpin human judgments of object similarity  .
After revision:  This embedding makes it possible to predict which verbs will be applicable to a given object, as captured in human judgments of verb applicability to objects better than a variety of alternative approaches. Furthermore , we show that they can be used to predict other dimensions of object representation that have been shown to underpin human judgments of object similarity .