Estimating the Utility of Simplified Discriminants in Grammar-Based Treebanking

We investigate different types of discriminants in grammar-based treebanking, grounded in a review of earlier work; with an eye towards annotation by non-experts, we propose different simplifications of common discriminant types and quantify their 'discriminative power' as well as efficacy in the preparation of training data for a discriminative parse ranker.