The workshop series, Computational Models of Narrative (CMN) is dedicated to advancing the computationally grounded scientific study of narrative. Now in its seventh iteration, the
workshop has a tradition of crossing academic borders and bringing together researchers from different disciplines on a common object of study.
Narrative provides a model for organizing and communicating experience, knowledge, and culture. Investigations of narrative operations in textual, aural, and visual media have been
systematically pursued in the humanities since before the early structural linguistics and folklorist inspired work of the Russian Formalists, and in the computing sciences since
before the early cognitive science inspired work on scripts and frames. Research continues on computational approaches across the humanities and sciences. In order to appreciate the
various domains and approaches connected to the computationally enabled study of narratives and narrative theory, it is becoming increasingly clear that research in this area
requires engagement from many communities of interest.
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, scientific, and humanistic understanding of narrative. The workshop will have a special focus on how the computational modeling, analysis, or generation of
narrative has affected approaches in the humanities for studying and generating narrative 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 is seen to function differently depending upon the medium. Regardless of its topic, reported work should provide some sort of insight of use to the scientific
understanding of narrative, from a computational point of view. Discussing technological applications or motivations is not prohibited, but is not required. We accept both finished
research and more tentative exploratory work.
How can computational narratives be studied from a humanities point of view?
Are generative models of narrative texts, movies or video games possible, desirable, and useful?
What comprises the set of possible narrative arcs? Is there such a set? How many possible story lines are there?
Is narrative structure universal, or are there systematic differences in narratives from different cultures?
How are narratives affected by the media used to convey them?
What aspects of cross linguistic work has narrative research neglected?
What opportunities are there for narrative analysis across languages?
What makes narrative different from a list of events or facts?
How is narrative knowledge captured and represented?
How are narratives indexed and retrieved? Is there a universal scheme for encoding episodic information?
What are the details of the relationship between narrative and language, image, or sound?
What shared resources and tools are available, or how can already-extant resources be adapted to the study of narrative?
What are appropriate formal or computational representations for narrative?
How should we evaluate computational and formal models of narrative?
How can narrative systems be applied to problem-solving?
What aspects of cross-linguistic work has narrative research neglected?
|March 7, 2016, March 15, 2016 |NEW Submission Deadline
|April 11, 2016, April 18, 2016 |Notification of Acceptance
|May 16, 2016
||Final versions due
|July 11 - 13, 2016
|July 11-16, 2016
Long Papers (up to 16 pages, plus up to 2 pages of references)
Short Papers (up to 8 pages, plus up to 2 pages of references)
Position Papers (up to 4 pages, plus up to 1 page of references)
CMN 2016 papers may be submitted in either of two formats:
LaTeX Papers should be prepared using the standard OASIcs template
, using A4 paper.
All final papers (i.e., post-review papers) must be submitted in this format.
Important: Papers may be submitted in MS Word format
only for review. If the paper is accepted, the authors will be reponsible for transferring their
content to the LaTeX format.
Papers submitted for review not in either of these two formats will be returned. Final papers not submitted in LaTeX format will also be returned.
Papers should be submitted to the CMN workshop Easychair website: https://www.easychair.org/conferences/?conf=cmn16
When submitting your final paper, please also submit a signed copy of the CMN'16 OASICs Author's Agreement (To be provided).
John Bateman, University of Bremen, Germany
(Georgia State University, USA)
, (University of Torino and ICAR CNR, Italy)
(Inria, LJK, University of Grenoble, France)
Stephen G. Ware
(University of New Orleans, USA)
Mark A. Finlayson
, (Florida International University, USA), Series Chair
Floris Bex, University of Groningen, The Netherlands
Mehul Bhatt, University of Bremen, Germany
Neil Cohn, University of California, USA
Rossana Damiano, University of Torino, Italy
Kerstin Dautenhahn, University of Hertfordshire, United Kingdom
David K. Elson, Columbia University and Google, USA
Pablo Gervás, Universidad Complutense de Madrid, Spain
Richard Gerrig, SUNY Stony Brook, USA
Andrew Gordon, University of Southern California, Institute for Creative Technologies, USA
Kenneth Kishida, Virginia Tech, USA
Benedikt Löwe, University of Hamburg, Germany and University of Amsterdam, The Netherlands
Inderjeet Mani, Atelier Milford Paradise
Loizos Michael, Open University of Cyprus, Cyprus
Livia Polanyi, LDM Associates, USA
Marie-Laure Ryan, University of Colorado Boulder, USA
Timothy Tangherlini, University of California at Los Angeles, USA
Emmett Tomai, PanAm, USA
Mariët Theune, University of Twente, The Netherlands
Atif Waraich, Manchester Metropolitan University, United Kingdom
Last update by Antonio Lieto