Paper: Getting More from Morphology in Multilingual Dependency Parsing

ACL ID N12-1032
Title Getting More from Morphology in Multilingual Dependency Parsing
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

We propose a linguistically motivated set of features to capture morphological agreement and add them to the MSTParser dependency parser. Compared to the built-in morphologi- cal feature set, ours is both much smaller and more accurate across a sample of 20 morpho- logically annotated treebanks. We find in- creases in accuracy of up to 5.3% absolute. While some of this results from the feature set capturing information unrelated to morphol- ogy, there is still significant improvement, up to 4.6% absolute, due to the agreement model.