Discourse Representation Structure Parsing

Jiangming Liu, Shay Cohen, Maria Lapata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We introduce an open-domain neural semantic parser which generates formal meaning representations in the style of Discourse Representation Theory (DRT; Kamp and Reyle 1993). We propose a method which transforms Discourse Representation Structures (DRSs) to trees and develop a structure-aware model which decomposes the decoding process into three stages: basic DRS structure prediction, condition prediction (i.e., predicates and relations), and referent prediction (i.e., variables). Experimental results on the Groningen Meaning Bank (GMB) show that our model outperforms competitive baselines by a wide margin.
Original languageEnglish
Title of host publication56th Annual Meeting of the Association for Computational Linguistics
Place of PublicationMelbourne, Australia
PublisherAssociation for Computational Linguistics (ACL)
Pages429-439
Number of pages11
Publication statusPublished - Jul 2018
Event56th Annual Meeting of the Association for Computational Linguistics - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 15 Jul 201820 Jul 2018
http://acl2018.org/

Conference

Conference56th Annual Meeting of the Association for Computational Linguistics
Abbreviated titleACL 2018
CountryAustralia
CityMelbourne
Period15/07/1820/07/18
Internet address

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