In this paper, we focus on the second thread and try to open the black-box by exploiting the gradients in NMT generation, which aims to estimate the word importance better.
we employ the integrated gradients method (Sundararajan et al., 2017) to attribute the output to the input words with the integration of first-order derivatives.