@inproceedings{lee-etal-2025-representing,
title = "Representing {ISO}-Annotated Dynamic Information in {UMR}",
author = "Lee, Kiyong and
Bunt, Harry and
Pustejovsky, James and
Fang, Alex C. and
Park, Chongwon",
editor = "Lai, Kenneth and
Wein, Shira",
booktitle = "Proceedings of the Sixth International Workshop on Designing Meaning Representations",
month = aug,
year = "2025",
address = "Prague, Czechia",
publisher = "Association for Computational Lingustics",
url = "https://aclanthology.org/2025.dmr-1.6/",
pages = "49--58",
abstract = "The ISO working group on semantic annotation aims to adopt the UMR formalism to represent dynamic information involving motions and their embedding grounds. The paper details how ISO{'}s XML-based temporal and spatial annotations, involving motions and spatio-temporally conditioned event-paths, will be converted to AMR or UMR forms. It also attempts to enrich the representation of dynamic information with the integrated spatio-temporal annotation scheme that accommodates first-order dynamic logic, as briefly noted. The main motivation of such an effort is to make spatio-temporal annotations and related dynamic information easily understandable by artificial agents like robots to act. Our approach bridges ISO{'}s richly specified standards with the task-oriented expressiveness of UMR and dynamic logic. This integration paves the way for seamless downstream use of spatio-temporal annotations in dialogue systems, simulation environments, and embodied agents."
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<abstract>The ISO working group on semantic annotation aims to adopt the UMR formalism to represent dynamic information involving motions and their embedding grounds. The paper details how ISO’s XML-based temporal and spatial annotations, involving motions and spatio-temporally conditioned event-paths, will be converted to AMR or UMR forms. It also attempts to enrich the representation of dynamic information with the integrated spatio-temporal annotation scheme that accommodates first-order dynamic logic, as briefly noted. The main motivation of such an effort is to make spatio-temporal annotations and related dynamic information easily understandable by artificial agents like robots to act. Our approach bridges ISO’s richly specified standards with the task-oriented expressiveness of UMR and dynamic logic. This integration paves the way for seamless downstream use of spatio-temporal annotations in dialogue systems, simulation environments, and embodied agents.</abstract>
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%0 Conference Proceedings
%T Representing ISO-Annotated Dynamic Information in UMR
%A Lee, Kiyong
%A Bunt, Harry
%A Pustejovsky, James
%A Fang, Alex C.
%A Park, Chongwon
%Y Lai, Kenneth
%Y Wein, Shira
%S Proceedings of the Sixth International Workshop on Designing Meaning Representations
%D 2025
%8 August
%I Association for Computational Lingustics
%C Prague, Czechia
%F lee-etal-2025-representing
%X The ISO working group on semantic annotation aims to adopt the UMR formalism to represent dynamic information involving motions and their embedding grounds. The paper details how ISO’s XML-based temporal and spatial annotations, involving motions and spatio-temporally conditioned event-paths, will be converted to AMR or UMR forms. It also attempts to enrich the representation of dynamic information with the integrated spatio-temporal annotation scheme that accommodates first-order dynamic logic, as briefly noted. The main motivation of such an effort is to make spatio-temporal annotations and related dynamic information easily understandable by artificial agents like robots to act. Our approach bridges ISO’s richly specified standards with the task-oriented expressiveness of UMR and dynamic logic. This integration paves the way for seamless downstream use of spatio-temporal annotations in dialogue systems, simulation environments, and embodied agents.
%U https://aclanthology.org/2025.dmr-1.6/
%P 49-58
Markdown (Informal)
[Representing ISO-Annotated Dynamic Information in UMR](https://aclanthology.org/2025.dmr-1.6/) (Lee et al., DMR 2025)
ACL
- Kiyong Lee, Harry Bunt, James Pustejovsky, Alex C. Fang, and Chongwon Park. 2025. Representing ISO-Annotated Dynamic Information in UMR. In Proceedings of the Sixth International Workshop on Designing Meaning Representations, pages 49–58, Prague, Czechia. Association for Computational Lingustics.