Cross-Domain Dependency Parsing Using a Deep Linguistic Grammar

Yi Zhang, Rui Wang

In: Proceedings of ACL-IJCNLP 2009. Joint conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP-2009) August 2-7 Singapore Singapore Seiten 378-386 Association for Computational Linguistics 2009.


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.

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P09-1043.pdf (pdf, 170 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence