These correlations are significant (p < 0.05). Word embedding models -such as that used in the approach to predicting compositionality of <cite>Salehi et al. (2015)</cite> -typically do not learn representations for low frequency items. 9 These results demonstrate that the proposed model is able to predict the compositionality for low frequency items, that would not typically be in-vocabulary for word embedding models, and for which compositionality models based only on word embeddings would not be able to make predictions.