Paper: Correcting Dependency Annotation Errors

ACL ID E09-1023
Title Correcting Dependency Annotation Errors
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Building on work detecting errors in de- pendency annotation, we set out to correct local dependency errors. To do this, we outline the properties of annotation errors that make the task challenging and their existence problematic for learning. For the task, we define a feature-based model that explicitly accounts for non-relations between words, and then use ambiguities from one model to constrain a second, more relaxed model. In this way, we are successfully able to correct many errors, in a way which is potentially applicable to dependency parsing more generally.