Paper: Graph Transformations In Data-Driven Dependency Parsing

ACL ID P06-1033
Title Graph Transformations In Data-Driven Dependency Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006

Transforming syntactic representations in order to improve parsing accuracy has been exploited successfully in statistical parsing systems using constituency-based representations. In this paper, we show that similar transformations can give sub- stantial improvements also in data-driven dependency parsing. Experiments on the Prague Dependency Treebank show that systematic transformations of coordinate structures and verb groups result in a 10% error reduction for a deterministic data-driven dependency parser. Combin- ing these transformations with previously proposed techniques for recovering non- projective dependencies leads to state-of- the-art accuracy for the given data set.