Towards a Model-Theoretic View of Narratives

Louis Castricato, Stella Biderman, David Thue, Rogelio Cardona-Rivera


Abstract
In this paper, we propose the beginnings of a formal framework for modeling narrative qua narrative. Our framework affords the ability to discuss key qualities of stories and their communication, including the flow of information from a Narrator to a Reader, the evolution of a Reader’s story model over time, and Reader uncertainty. We demonstrate its applicability to computational narratology by giving explicit algorithms for measuring the accuracy with which information was conveyed to the Reader, along with two novel measurements of story coherence.
Anthology ID:
2021.nuse-1.10
Volume:
Proceedings of the Third Workshop on Narrative Understanding
Month:
June
Year:
2021
Address:
Virtual
Editors:
Nader Akoury, Faeze Brahman, Snigdha Chaturvedi, Elizabeth Clark, Mohit Iyyer, Lara J. Martin
Venues:
NUSE | WNU
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
95–104
Language:
URL:
https://aclanthology.org/2021.nuse-1.10
DOI:
10.18653/v1/2021.nuse-1.10
Bibkey:
Cite (ACL):
Louis Castricato, Stella Biderman, David Thue, and Rogelio Cardona-Rivera. 2021. Towards a Model-Theoretic View of Narratives. In Proceedings of the Third Workshop on Narrative Understanding, pages 95–104, Virtual. Association for Computational Linguistics.
Cite (Informal):
Towards a Model-Theoretic View of Narratives (Castricato et al., NUSE-WNU 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.nuse-1.10.pdf