Our approach extends the work of<cite> Sokolov et al. (2013)</cite> by presenting an alternative learningto-rank approach that can be used for supervised model combination to integrate dense and sparse features, and by evaluating both approaches on cross-lingual retrieval for patents and Wikipedia.