Guessing the grammatical function of a non-root f-structure in LFG

Authors:
Anton Bryl;Josef van Genabith;Yvette Graham
Affiliations:
Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland
Venue:
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Year:
2009

Citing 4
Cited 0

Parsing the wall street journal using a Lexical-Functional Grammar and discriminative estimation techniques

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
The Parallel Grammar project

COLING-GEE '02 Proceedings of the 2002 workshop on Grammar engineering and evaluation - Volume 15
Adapting existing grammars: the XLE experience

COLING-GEE '02 Proceedings of the 2002 workshop on Grammar engineering and evaluation - Volume 15

Quantified Score

Hi-index	0.00

Visualization

Abstract

Lexical-Functional Grammar (Kaplan and Bresnan, 1982) f-structures are bilexical labelled dependency representations. We show that the Naive Bayes classifier is able to guess missing grammatical function labels (i.e. bilexical dependency labels) with reasonably high accuracy (82--91%). In the experiments we use f-structure parser output for English and German Europarl data, automatically "broken" by replacing grammatical function labels with a generic UNKNOWN label and asking the classifier to restore the label.