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2008

Integrating Graph-Based and Transition-Based Dependency Parsers

9 years 3 months ago
Integrating Graph-Based and Transition-Based Dependency Parsers
Previous studies of data-driven dependency parsing have shown that the distribution of parsing errors are correlated with theoretical properties of the models used for learning and inference. In this paper, we show how these results can be exploited to improve parsing accuracy by integrating a graph-based and a transition-based model. By letting one model generate features for the other, we consistently improve accuracy for both models, resulting in a significant improvement of the state of the art when evaluated on data sets from the CoNLL-X shared task.
Joakim Nivre, Ryan T. McDonald
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Joakim Nivre, Ryan T. McDonald
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