Paper: Evaluation of Dependency Parsers on Unbounded Dependencies

ACL ID C10-1094
Title Evaluation of Dependency Parsers on Unbounded Dependencies
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

We evaluate two dependency parsers, MSTParser and MaltParser, with respect to their capacity to recover unbounded de- pendencies in English, a type of evalu- ation that has been applied to grammar- based parsers and statistical phrase struc- ture parsers but not to dependency parsers. The evaluation shows that when combined with simple post-processing heuristics, the parsers correctly recall unbounded dependencies roughly 50% of the time, which is only slightly worse than two grammar-based parsers specifically de- signed to cope with such dependencies.