A Survey of AMR Applications

Shira Wein, Juri Opitz


Abstract
In the ten years since the development of the Abstract Meaning Representation (AMR) formalism, substantial progress has been made on AMR-related tasks such as parsing and alignment. Still, the engineering applications of AMR are not fully understood. In this survey, we categorize and characterize more than 100 papers which use AMR for downstream tasks— the first survey of this kind for AMR. Specifically, we highlight (1) the range of applications for which AMR has been harnessed, and (2) the techniques for incorporating AMR into those applications. We also detect broader AMR engineering patterns and outline areas of future work that seem ripe for AMR incorporation. We hope that this survey will be useful to those interested in using AMR and that it sparks discussion on the role of symbolic representations in the age of neural-focused NLP research.
Anthology ID:
2024.emnlp-main.390
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
6856–6875
Language:
URL:
https://aclanthology.org/2024.emnlp-main.390
DOI:
10.18653/v1/2024.emnlp-main.390
Bibkey:
Cite (ACL):
Shira Wein and Juri Opitz. 2024. A Survey of AMR Applications. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 6856–6875, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
A Survey of AMR Applications (Wein & Opitz, EMNLP 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.emnlp-main.390.pdf