Both phrase-structure and dependency parsers have developed a lot in the last decade (Nivre et al., 2004; McDonald et al., 2005; Charniak and Johnson, 2005; <cite>Huang, 2008)</cite> . Different approaches have been proved to be effective for these two parsing tasks which has implicated a divergence between techniques used (and a growing gap between researcher communities). In this work, we exploit this divergence and show the added value of features extracted from automatic dependency parses of sentences for a discriminative phrase-structure parser.