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CMN 2026 : 9th International Workshop on Computational Models of Narrative

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Link: https://sites.google.com/ucm.es/cmn26
 
When Jun 8, 2026 - Jun 10, 2026
Where Madrid, Spain
Abstract Registration Due Feb 1, 2026
Submission Deadline Feb 8, 2026
Notification Due Mar 20, 2026
Final Version Due Apr 17, 2026
Categories    narrative   artificial intelligence   NLP   digital storytelling
 

Call For Papers

-- IMPORTANT DATES --

February 8, 2026. Submission deadline.
March 20, 2026. Notification of acceptance.
April 17, 2026. Final Versions Due.
June 8-10, 2026. Workshop in Madrid, Spain.


-- AIMS--

This interdisciplinary workshop will be an appropriate venue for papers addressing fundamental topics and questions regarding narrative. Papers should be relevant to the computational modeling and scientific or humanistic understanding of narrative. The workshop will focus on how computational modeling, analysis, or narrative generation has affected approaches for studying and generating narratives in or across textual, aural, or visual media. Possible themes could connect to the representation of narrative, connections between cognition and narrative or knowledge representation and narrative, the use of heuristics to handle complexity, incorporation of insights about human thinking, the use of narrative to organize information in the humanities, the relationship between top-down and bottom-up approaches for narrative understanding, or how narrative functions differently depending upon the medium. Regardless of its topic, reported work should provide insight of use to the scientific understanding or computational modeling of narratives. Discussing technological applications or motivations is not prohibited, but is not required. We accept both finished research and more tentative exploratory work.


-- SUBMISSION --

We invite and encourage submissions either as full papers or position papers through EasyChair:

* Full papers should contain original research and be between 8 and 16 pages, references included.

* Position papers can report on work-in-progress, research plans or projects and have to fit within 8 pages, references included.

Papers should be submitted as pdf files, following the templates provided (1 column format). They do not need to be anonymized. We also invite you to submit an abstract soon so that we can gauge the number of submissions we can expect (submitting an abstract is possible without submitting the entire paper at the same time). Text generated by Large-scale language model (LLM) such as ChatGPT is prohibited. Authors may still use LLMs for editing or polishing author-written text.

Accepted papers will be published in open access (Gold Road), free of charge.


-- ILLUSTRATIVE TOPICS AND QUESTIONS --

- What are appropriate formal or computational representations for narrative?
- How is narrative knowledge captured and represented?
- Is narrative structure universal, or are there systematic differences in narratives from different cultures?
- What makes narrative different from a list of events or facts?
- What comprises the set of possible narrative arcs? Is there such a set?
- How do conceptions and models of spatiality or temporality influence narrative and cognitive systems?
- What are the details of the relationship between narrative and language, image, or sound?
- How far are we from a model of narrative adaptation across media?
- How can we study narrative from a cognitive point of view?
- Can narrative be subsumed by current models of higher-level cognition, or does it require new approaches?
- How do narratives mediate our cognitive experiences, or affect our cognitive abilities?
- How can narrative systems be applied to problem-solving?
- What are the details of the relationship between narrative and common sense
- How should we evaluate computational and formal models of narrative?
- What shared resources are required for the computational study of narrative? What should a "Story Bank" contain?
- How are narratives indexed and retrieved? Is there a universal scheme for encoding episodic information?
- What shared resources and tools are available, or how can already-existent resources be adapted to the study of narrative?

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