Paper: A Probabilistic Corpus-Driven Model for Lexical-Functional Analysis

ACL ID P98-1022
Title A Probabilistic Corpus-Driven Model for Lexical-Functional Analysis
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

We develop a Data-Oriented Parsing (DOP) model based on the syntactic representations of Lexical- Functional Grammar (LFG). We start by sum- marizing the original DOP model for tree represen- tations and then show how it can be extended with corresponding functional structures. The resulting LFG-DOP model triggers a new, corpus-based notion of grammaticality, and its probability models exhibit interesting behavior with respect to specificity and the interpretation of ill-formed strings.