To achieve the above goal, we first infer the representations of entity descriptions using relation representation as attention: where r ∈ d w is the representation of the relation mention by averaging all the hidden vectors of BiLSTM, h i is the hidden representation of w i , and W e ∈ d w×2×h is a trained parameter matrix.
the parameters of our model are optimized using the stochastic gradient descent (SGD) algorithm.