Given a hyponym term hypo and k context words c 1 , c 2 , .., c k in the training triple, the output of hidden layer h is calculated as: where v t is the vector representation of the input word/term t. The weight of h in Equation 1is calculated as the average of the vector representation of hyponym term and contextual words.
this weight is not based on a fixed number of inputs.