TY - GEN
T1 - A Survey of Meaning Representations – From Theory to Practical Utility
AU - Sadeddine, Zacchary
AU - Opitz, Juri
AU - Suchanek, Fabian M.
N1 - Publisher Copyright:
©2024 Association for Computational Linguistics.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
U2 - 10.18653/v1/2024.naacl-long.159
DO - 10.18653/v1/2024.naacl-long.159
M3 - Conference contribution
AN - SCOPUS:85200244969
T3 - Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024
SP - 2877
EP - 2892
BT - Long Papers
A2 - Duh, Kevin
A2 - Gomez, Helena
A2 - Bethard, Steven
PB - Association for Computational Linguistics (ACL)
T2 - 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024
Y2 - 16 June 2024 through 21 June 2024
ER -