Paper: Improving data-driven dependency parsing using large-scale LFG grammars

ACL ID P09-2010
Title Improving data-driven dependency parsing using large-scale LFG grammars
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

This paper presents experiments which combine a grammar-driven and a data- driven parser. We show how the con- version 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.