Cross-Domain Dependency Parsing Using a Deep Linguistic Grammar

Pure statistical parsing systems achieves high in-domain accuracy but performs poorly out-domain. In this paper, we propose two different approaches to produce syntactic dependency structures using a large-scale hand-crafted HPSG grammar. The dependency backbone of an HPSG analysis is used to provide general linguistic insights which, when combined with state-of-the-art statistical dependency parsing models, achieves performance improvements on out-domain tests.

• Type: Journal
• Year: 2009
• Where: ACL
• Authors: Yi Zhang, Rui Wang
• Keywords: ACL 2009, Computational Linguistics, Dependency Parsing Models, Large-scale Hand-crafted Hpsg, Pure Statistical Parsing