A Continuation Semantics for Abstract Meaning Representation

Kenneth Lai, Lucia Donatelli, James Pustejovsky


Abstract
Abstract Meaning Representation (AMR) is a simple, expressive semantic framework whose emphasis on predicate-argument structure is effective for many tasks. Nevertheless, AMR lacks a systematic treatment of projection phenomena, making its translation into logical form problematic. We present a translation function from AMR to first order logic using continuation semantics, which allows us to capture the semantic context of an expression in the form of an argument. This is a natural extension of AMR’s original design principles, allowing us to easily model basic projection phenomena such as quantification and negation as well as complex phenomena such as bound variables and donkey anaphora.
Anthology ID:
2020.dmr-1.1
Volume:
Proceedings of the Second International Workshop on Designing Meaning Representations
Month:
December
Year:
2020
Address:
Barcelona Spain (online)
Venue:
DMR
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–12
Language:
URL:
https://aclanthology.org/2020.dmr-1.1
DOI:
Bibkey:
Cite (ACL):
Kenneth Lai, Lucia Donatelli, and James Pustejovsky. 2020. A Continuation Semantics for Abstract Meaning Representation. In Proceedings of the Second International Workshop on Designing Meaning Representations, pages 1–12, Barcelona Spain (online). Association for Computational Linguistics.
Cite (Informal):
A Continuation Semantics for Abstract Meaning Representation (Lai et al., DMR 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.dmr-1.1.pdf
Code
 klai12/amr2fol