Appel: 2nd CfP Workshop on Computational Models of Narrative, LREC 2012 Workshop

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Wed Dec 21 22:03:56 UTC 2011

Date: Mon, 19 Dec 2011 17:43:47 +0100
From: ELRA ELDA Information <info at>
Message-ID: <4EEF69C3.1030506 at>

[Apologies for multiple postings]

2012 Workshop on Computational Models of Narrative
May 26-27, 2012

Lütfi Kirdar Istanbul Exhibition and Congress Centre Istanbul, Turkey to
be co-located with the LREC'2012, the Language Resources and Evaluation

Paper submission deadline: February 24, 2012

*Workshop Aims*
Narratives are ubiquitous in human experience. We use them to
communicate, convince, explain, and entertain. As far as we know, every
society in the world has narratives, which suggests they are rooted in
our psychology and serve an important cognitive function. It is becoming
increasingly clear that, to truly understand and explain human
intelligence, beliefs, and behaviors, we will have to understand why
narrative is universal and explain (or explain away) the function it
serves. The aim of this workshop (and its predecessors) is to address
key, fundamental questions about narrative that advance our fundamental
understanding of narrative and our ability model it computationally.

*Special Focus: Shared Resources* 
In addition to fundamental questions, the field has yet to address key
needs with regard to shared resources and corpora that could smooth and
hasten the way forward. The vast majority of work on narrative uses
fewer than four stories to perform their experiments, and rarely re-use
narratives from previous studies. Because NLP technology cannot yet take
us all the way to the highly-accurate formal representations of language
semantics, this implies significant amounts of repeated work in
annotation. The way forward could be catalyzed by a carefully
constructed set of shared resources. This meeting will be an appropriate
venue for papers addressing fundamental topics and questions regarding
narrative.  Moreover, the meeting will have a special focus on the
identification, collection, and construction of shared resources and
corpora that facilitate the computational modeling of narrative. Papers
should focus on issues fundamental to computational modeling and
scientific understanding, or issues related to building shared resources
to advance the field. Discussing technological applications or
motivations is not discouraged, but is not required.

*Illustrative Topics and Questions*

  * What kinds of shared resources are required for the computational
    study of narrative?
  * What content and modalities should be put in a "Story Bank"? What
    formal representations should be used?
  * What shared resources are available, or how can already-extant
    resources be adapted to common needs?
  * What makes narrative different from a list of events or facts? What
    is special that makes something a narrative?
  * What are the details of the relationship between narrative and
    common sense?
  * How are narratives indexed and retrieved? Is there a "universal"
    scheme for encoding episodes?
  * What impact do the purpose, function, and genre of a narrative have
    on its form and content?
  * What comprises the set of possible narrative arcs? Is there such a
    set? How many possible story lines are there?
  * Are there systematic differences in the formal properties of
    narratives from different cultures?
  * What are appropriate representations for narrative? What
    representations underlie the extraction of narrative schemas?
  * How should we evaluate computational models of narrative?

*Organizing Committee*
Mark A. Finlayson, Massachusetts Institute of Technology, USA
Pablo Gervás, Universidad Complutense de Madrid, Spain
Deniz Yuret, Koc University, Turkey
Floris Bex, University of Dundee, Scotland

There will be a number of travel grants available to workshop authors
via our sponsors:

  * ONR Global
  * Office of Naval Research
  * Defense Advanced Research Projects Agency

narrative-ws12 at

Note: Workshop dates have changed slightly since the first call

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