Paper: Exploiting Auxiliary Distributions In Stochastic Unification-Based Grammars

ACL ID A00-2021
Title Exploiting Auxiliary Distributions In Stochastic Unification-Based Grammars
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

This paper describes a method for estimat- ing conditional probability distributions over the parses of "unification-based" grammars which can utilize auxiliary distributions that are estimated by other means. We show how this can be used to incorporate information about lexical selectional preferences gathered from other sources into Stochastic "Unification- based" Grammars (SUBGs). While we ap- ply this estimator to a Stochastic Lexical- Functional Grammar, the method is general, and should be applicable to stochastic versions of HPSGs, categorial grammars and transfor- mational grammars.