Paper: Enforcing Structural Diversity in Cube-pruned Dependency Parsing

ACL ID P14-2107
Title Enforcing Structural Diversity in Cube-pruned Dependency Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

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 ambigu- ity. The resulting parser achieves state-of- the-art accuracies, in particular on datasets with a large set of dependency labels.