Narration as Functions: from Events to Narratives

Junbo Huang, Ricardo Usbeck


Abstract
Identifying events from text has a long past in narrative analysis, but a short history in Natural Language Processing (NLP). In this position paper, a question is asked: given the telling of a sequence of real-world events by a news narrator, what do NLP event extraction models capture, and what do they miss? Insights from critical discourse analysis (CDA) and from a series of movements in literary criticism motivate us to model the narrated logic in news narratives.As a result, a computational framework is proposed to model the function of news narration, which shapes the narrated world, consumed by news narratees. As a simplification, we represent the causal logic between events depicted in the narrated world.
Anthology ID:
2024.wnu-1.1
Volume:
Proceedings of the The 6th Workshop on Narrative Understanding
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yash Kumar Lal, Elizabeth Clark, Mohit Iyyer, Snigdha Chaturvedi, Anneliese Brei, Faeze Brahman, Khyathi Raghavi Chandu
Venue:
WNU
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–7
Language:
URL:
https://aclanthology.org/2024.wnu-1.1
DOI:
Bibkey:
Cite (ACL):
Junbo Huang and Ricardo Usbeck. 2024. Narration as Functions: from Events to Narratives. In Proceedings of the The 6th Workshop on Narrative Understanding, pages 1–7, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
Narration as Functions: from Events to Narratives (Huang & Usbeck, WNU 2024)
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PDF:
https://aclanthology.org/2024.wnu-1.1.pdf