Paper: Parsing The Wall Street Journal Using A Lexical-Functional Grammar And Discriminative Estimation Techniques

ACL ID P02-1035
Title Parsing The Wall Street Journal Using A Lexical-Functional Grammar And Discriminative Estimation Techniques
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2002
Authors

We present a stochastic parsing system consisting of a Lexical-Functional Gram- mar (LFG), a constraint-based parser and a stochastic disambiguation model. We re- port on the results of applying this sys- tem to parsing the UPenn Wall Street Journal (WSJ) treebank. The model com- bines full and partial parsing techniques to reach full grammar coverage on unseen data. The treebank annotations are used to provide partially labeled data for dis- criminative statistical estimation using ex- ponential models. Disambiguation perfor- mance is evaluated by measuring matches of predicate-argument relations on two distinct test sets. On a gold standard of manually annotated f-structures for a sub- set of the WSJ treebank, this evaluation reaches 79% F-score. An evaluation on a gold standard of depen...