For these reasons, we propose to adapt a learning-to-rank framework that optimizes multiple parameters of phrase-based retrieval models effectively with less computation cost and without any specific retrieval metric.
we use a gradient descent method with the RankNet cost function (Burges et al., 2005) to perform effective parameter optimizations, as in (Taylor et al., 2006;Metzler, 2007).