Surface n-gram counts from large web corpora have been used to address NP and PP attachment errors (Volk, 2001; Nakov and Hearst, 2005) Aside from<cite> Bansal and Klein (2011)</cite> , other feature-based approaches to improving dependency parsing include Pitler (2012) , who exploits Brown clusters and point-wise mutual information of surface n-gram counts to specifically address PP and coordination errors.