Abstract
This paper presents experiments which combine a grammar-driven and a datadriven parser. We show how the conversion of LFG output to dependency representation allows for a technique of parser stacking, whereby the output of the grammar-driven parser supplies features for a data-driven dependency parser. We evaluate on English and German and show significant improvements stemming from the proposed dependency structure as well as various other, deep linguistic features derived from the respective grammars. © 2009 ACL and AFNLP.
Cite
CITATION STYLE
Øvrelid, L., Kuhn, J., & Spreyer, K. (2009). Improving data-driven dependency parsing using large-scale LFG grammars. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 37–40). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667597
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