In Figure 1, words from word embedding matrix W, sentences from sentence embedding matrix S, documents from document embedding matrix D and class-labels from class embedding matrix C are used as the context from which to predict the target word.
given a sequence of training words w 1 , w 2 , w 3 , ..., w T that belongs to sentence s t in document d t , which has also a set of classification labels associated c 1 , ...c m .