Separating Argument Structure from Logical Structure in AMR

08/04/2019
by   Johan Bos, et al.
0

The AMR (Abstract Meaning Representation) formalism for representing meaning of natural language sentences was not designed to deal with scope and quantifiers. By extending AMR with indices for contexts and formulating constraints on these contexts, a formalism is derived that makes correct prediction for inferences involving negation and bound variables. The attractive core predicate-argument structure of AMR is preserved. The resulting framework is similar to that of Discourse Representation Theory.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/20/2021

Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope

Abstract Meaning Representation (AMR) is a graphical meaning representat...
research
12/29/2020

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

Discourse Representation Theory (DRT) is a formal account for representi...
research
05/16/2022

Persian Abstract Meaning Representation

Abstract Meaning Representation (AMR) is an annotation framework represe...
research
05/17/2021

Supporting Context Monotonicity Abstractions in Neural NLI Models

Natural language contexts display logical regularities with respect to s...
research
02/24/2022

Neural reality of argument structure constructions

In lexicalist linguistic theories, argument structure is assumed to be p...
research
12/13/2021

Plurality and Quantification in Graph Representation of Meaning

In this thesis we present a semantic representation formalism based on d...
research
08/12/2019

Stochastic differential theory of cricket

A new formalism for analyzing the progression of cricket game using Stoc...

Please sign up or login with your details

Forgot password? Click here to reset