Our objective is to make the reconstructed embedding r s similar to the target sentence embedding z s while different from those negative samples.
the unregularized objective J is formulated as a hinge loss that maximize the inner product between r s and z s and simultaneously minimize the inner product between r s and the negative samples: where D represents the training data set and θ = {E, T, M, W, b} represents the model parameters.