Exploiting auxiliary distributions in stochastic unification-based grammars

Mark Johnson, Stefan Riezler

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Downloads (Pure)

Abstract

This paper describes a method for estimating 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 apply this estimator to a Stochastic Lexical-Functional Grammar, the method is general, and should be applicable to stochastic versions of HPSGs, categorial grammars and transformational grammars.
Original languageEnglish
Title of host publication1st Meeting of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationProceedings of the Conference
Place of PublicationStroudsburg, PA
PublisherAssociation for Computational Linguistics (ACL)
Pages154-161
Number of pages8
Publication statusPublished - 2000
Externally publishedYes
EventMeeting of the North American Chapter of the Association for Computational Linguistics (1st : 2000) - Seattle, United States
Duration: 29 Apr 20004 May 2000

Conference

ConferenceMeeting of the North American Chapter of the Association for Computational Linguistics (1st : 2000)
Abbreviated titleNAACL 2000
CountryUnited States
CitySeattle
Period29/04/004/05/00

Bibliographical note

Copyright the Publisher 2000. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Fingerprint Dive into the research topics of 'Exploiting auxiliary distributions in stochastic unification-based grammars'. Together they form a unique fingerprint.

Cite this