Narration as Functions: from Events to Narratives
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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WNU 2024 - 6th Workshop on Narrative Understanding: Proceedings of the Workshop. ed. / Yash Kumar Lal; Elizabeth Clark; Mohit Iyyer; Snigdha Chaturvedi; Anneliese Brei; Faeze Brahman; Khyathi Raghavi Chandu. Miami, Florida: Association for Computational Linguistics (ACL), 2024. p. 1-7 (WNU 2024 - 6th Workshop on Narrative Understanding, Proceedings of the Workshop).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Narration as Functions
T2 - 6th Workshop on Narrative Understanding, WNU 2024
AU - Huang, Junbo
AU - Usbeck, Ricardo
N1 - Conference code: 6
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=85217565673&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85217565673
T3 - WNU 2024 - 6th Workshop on Narrative Understanding, Proceedings of the Workshop
SP - 1
EP - 7
BT - WNU 2024 - 6th Workshop on Narrative Understanding
A2 - Lal, Yash Kumar
A2 - Clark, Elizabeth
A2 - Iyyer, Mohit
A2 - Chaturvedi, Snigdha
A2 - Brei, Anneliese
A2 - Brahman, Faeze
A2 - Chandu, Khyathi Raghavi
PB - Association for Computational Linguistics (ACL)
CY - Miami, Florida
Y2 - 15 November 2024 through 15 November 2024
ER -