Discourse Representation Structure Parsing
Jiangming Liu, Shay B. Cohen, Mirella Lapata · 2018
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.