Paper: Dependency-based empty category detection via phrase structure trees

ACL ID N13-1125
Title Dependency-based empty category detection via phrase structure trees
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We describe a novel approach to detecting empty categories (EC) as represented in de- pendency trees as well as a new metric for measuring EC detection accuracy. The new metric takes into account not only the position and type of an EC, but also the head it is a dependent of in a dependency tree. We also introduce a variety of new features that are more suited for this approach. Tested on a sub- set of the Chinese Treebank, our system im- proved significantly over the best previously reported results even when evaluated with this more stringent metric.