A Survey of Meaning Representations – From Theory to Practical Utility

Zacchary Sadeddine, Juri Opitz, Fabian Suchanek


Abstract
Symbolic meaning representations of natural language text have been studied since at least the 1960s. With the availability of large annotated corpora, and more powerful machine learning tools, the field has recently seen several new developments. In this survey, we study today’s most prominent Meaning Representation Frameworks. We shed light on their theoretical properties, as well as on their practical research environment, i.e., on datasets, parsers, applications, and future challenges.
Anthology ID:
2024.naacl-long.159
Volume:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Kevin Duh, Helena Gomez, Steven Bethard
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2877–2892
Language:
URL:
https://aclanthology.org/2024.naacl-long.159
DOI:
Bibkey:
Cite (ACL):
Zacchary Sadeddine, Juri Opitz, and Fabian Suchanek. 2024. A Survey of Meaning Representations – From Theory to Practical Utility. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 2877–2892, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
A Survey of Meaning Representations – From Theory to Practical Utility (Sadeddine et al., NAACL 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.naacl-long.159.pdf
Copyright:
 2024.naacl-long.159.copyright.pdf