Models such as Decomposable Attention (Parikh et al., 2016) and ESIM (Chen et al., 2017), on the other hand, find alignments between the hypothesis and premise words through crossattention.
so we haveX This is similar to a standard attention mechanism, where attended representation is computed by summing the scaled representations.