Annotation-Based Semantics for Dialogues in the Vox World

Kiyong Lee


Abstract
This paper aims at enriching Annotation-Based Semantics (ABS) with the notion of small visual worlds, called the Vox worlds, to interpret dialogues in natural language. It attempts to implement classical set-theoretic models with these Vox worlds that serve as interpretation models. These worlds describe dialogue situations while providing background for the visualization of those situations in which these described dialogues take place interactively among dialogue participants, often triggering actions and emotions. The enriched ABS is based on VoxML, a modeling language for visual object conceptual structures (vocs or vox) that constitute the structural basis of visual worlds.
Anthology ID:
2024.isa-1.16
Volume:
Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Harry Bunt, Nancy Ide, Kiyong Lee, Volha Petukhova, James Pustejovsky, Laurent Romary
Venues:
ISA | WS
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
133–143
Language:
URL:
https://aclanthology.org/2024.isa-1.16
DOI:
Bibkey:
Cite (ACL):
Kiyong Lee. 2024. Annotation-Based Semantics for Dialogues in the Vox World. In Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024, pages 133–143, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Annotation-Based Semantics for Dialogues in the Vox World (Lee, ISA-WS 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2024.isa-1.16.pdf