%0 Report
%9 Technical Report
%A Toutanova, Kristina
%A Manning, Christopher
%A Shieber, Stuart
%A Flickinger, Dan
%A Oepen, Stephan
%D 2002
%F ilprints:571
%I Stanford InfoLab
%K statistical parsing models, HPSG grammars
%T Parse Disambiguation for a Rich HPSG Grammar
%U http://ilpubs.stanford.edu:8090/571/
%X In this paper, we describe experiments on HPSG parse disambiguation using the Redwoods HPSG treebank. We have explored building probabilistic models for parse disambiguation using this rich HPSG treebank, assessing the effectiveness of different kinds of information. We describe  generative and discriminative models using analogous features and compare their performance on the disambiguation task.