Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
COLING-GEE '02 Proceedings of the 2002 workshop on Grammar engineering and evaluation - Volume 15
Wide-coverage deep statistical parsing using automatic dependency structure annotation
Computational Linguistics
CoNLL-X shared task on multilingual dependency parsing
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Labeled pseudo-projective dependency parsing with support vector machines
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Speeding up LFG parsing using c-structure pruning
GEAF '08 Proceedings of the Workshop on Grammar Engineering Across Frameworks
Resolving speculation: MaxEnt cue classification and dependency-based scope rules
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Syntactic scope resolution in uncertainty analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Who did what to whom?: a contrastive study of syntacto-semantic dependencies
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
Induction of dependency structures based on weighted projection
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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This paper presents experiments which combine a grammar-driven and a data-driven 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.