Paper: Using Supertags and Encoded Annotation Principles for Improved Dependency to Phrase Structure Conversion

ACL ID N12-1031
Title Using Supertags and Encoded Annotation Principles for Improved Dependency to Phrase Structure Conversion
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

We investigate the problem of automatically converting from a dependency representa- tion to a phrase structure representation, a key aspect of understanding the relationship between these two representations for NLP work. We implement a new approach to this problem, based on a small number of su- pertags, along with an encoding of some of the underlying principles of the Penn Tree- bank guidelines. The resulting system signifi- cantly outperforms previous work in such au- tomatic conversion. We also achieve compara- ble results to a system using a phrase-structure parser for the conversion. A comparison with our system using either the part-of-speech tags or the supertags provides some indication of what the parser is contributing.