Enforcing Structural Diversity in Cube-pruned Dependency Parsing

Hao Zhang, Ryan T. McDonald

Abstract: In this paper we extend the cube-pruned dependency parsing framework of Zhang et al. (2012; 2013) by forcing inference to maintain both label and structural ambiguity. The resulting parser achieves state-ofthe-art accuracies, in particular on datasets with a large set of dependency labels.