29.2236, Calls: Cog Sci, Comp Ling, Disc Analysis, Pragmatics/USA

Wed May 23 16:40:26 UTC 2018

LINGUIST List: Vol-29-2236. Wed May 23 2018. ISSN: 1069 - 4875.

Subject: 29.2236, Calls: Cog Sci, Comp Ling, Disc Analysis, Pragmatics/USA

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Date: Wed, 23 May 2018 12:39:10
From: Tommaso Caselli [t.caselli at rug.nl]
Subject: COLING 2018 Workshop on Events and Stories in the News

Full Title: COLING 2018 Workshop on Events and Stories in the News 
Short Title: EventStory 2018 

Date: 20-Aug-2018 - 25-Aug-2018
Location: Santa Fe, USA 
Contact Person: Tommaso Caselli
Meeting Email: t.caselli at rug.nl
Web Site: http://www.eventstory.news/ 

Linguistic Field(s): Cognitive Science; Computational Linguistics; Discourse Analysis; Pragmatics 

Call Deadline: 03-Jun-2018 

Meeting Description:

Events and Stories in the News is a workshop series and multidisciplinary
research community investigating technologies for representing and accessing
events and storylines from news as data structures. This approach offers an
alternative to capturing events and stories using natural language artifacts,
such as text articles, reports and videos. Understanding events and stories as
data presents significant challenges that touch on semantics, natural language
processing, knowledge engineering, artificial intelligence, human cognition
and even philosophy.

Today's digital media ecosystem generates massive streams of news, largely in
the form of individual documents within which news events and narrative
structures are communicated using natural language text. The increasing
quantity of text documents produced by the ecosystem presents challenges to
those seeking to understand and contextualize events and narratives over long
periods of time, leading to demands for new multidimensional, multimodal and
distributed representations of news events and of the structures involved in
''stories''.

Stories are essentially sequences of events with an internal coherence: being
about the protagonists, observing a timeline of events, tracking the states
and changes in the world as related to the protagonists, and (usually, for
good stories) having some kind of point or moral. Understanding and
representing stories require addressing additional areas, including: i.) state
detection and state change tracking across time; ii.) storyline analysis and
moral/point determination; iii.) multi-source and multimedia integration; iv.)
perspective identification and perspective-based analysis and summarization of
stories. Some of these focus areas are already being addressed in
computational terms, others are still very much purely in the realm of
linguistics, professional writing, and journalism.

Furthermore, NLP technologies still struggle with, among others, event
detection, event identity and coreference, and causal, topical, temporal, and
spatial relations between events. People, on the other hand, easily decide on
salient events, such as changes in the world, make reference to these events
and their participants through linguistic expressions, and construct
storylines using only the pertinent aspects. Such narrative structures are at
the heart of information sharing, as is exemplified by the structure of news
articles. But it remains extraordinarily difficult to detect them
automatically, let alone to automatically construct stories from such event
representations.

Organizers:

Tommaso Caselli, Rijksuniversiteit Groningen, NL
Claire Bonial, U.S. Army Research Laboratory, USA
Susan Brown, University of Colorado, USA
David Caswell, Reynolds Journalism Institute, University of Missouri, USA
Eduard Hovy, Language Technologies Institute, Carnegie Mellon University, USA
Ben Miller, Georgia State University, USA
Teruko Mitamura, Language Technologies Institute, Carnegie Mellon University,
USA 
Martha Palmer, University of Colorado, USA
Marieke van Erp, KNAW Humanities Cluster, NL
Piek Vossen, Vrije Universiteit Amsterdam, NL

2nd Call for Papers:

More details are available at https://goo.gl/koufai 
Extended Deadline: June 3 2018

We invite work on all aspects of event and storyline analysis, storyline
generation, and relationships between events and storylines or their
components, especially from news. 

This includes, but is not limited to:

- event detection (mentions and instances)
- identifying and filtering relevant events
- cumulation of information from news streams
- detecting opinions and perspectives on events
- tracing perspective change through time
- modeling plot structures
- storyline stability and completeness
- annotating storylines
- temporal or causal ordering of events
- event coreference (in-document and cross-document)
- sub-event and event subset relations
- temporal event sequencing
- script activation
- big data for storylines
- evaluation of storylines
- discourse structure and storylines
- visualisation of storylines
- dynamic event modelling
- counterfactuals modelling
- event factuality profiling
- multimodal storyline generation
- event representation 

Submission Instructions:

Two types of submissions are invited: full papers and short papers.

Full papers should emphasize obtained results rather than intended work, and
should indicate clearly the state of completion of the reported results.
Submission should not exceed a maximum 8 pages plus two additional pages
containing references.

Short papers may consist of up to 4 pages (plus two additional pages for
references) describing: a focused contribution; work in progress; a negative
result; a position paper.

The reviewing process will be blind and papers must be anonymous.
Submissions must be in PDF following the COLING 2018 style template. Style
files are available here. Contributions should be submitted in PDF via the
submission site: https://www.softconf.com/coling2018/ws-EventStory2018/ 

(Un)shared Annotation Task:

The workshop will include an un-shared annotation task on events and narrative
structures in a small set of text news articles. Given a collection of raw
texts concerning a specific story (thus, multiple documents spreading in
time), the aim of this unshared task is to tackle fundamental research
question in storylines identification and extraction. Briefly, the
participant(s) should propose a task with a corresponding annotation scheme,
conduct an annotation experiment, and evaluate strengths and weakness of the
task. 

Papers should be submitted as standard workshop short papers (max 4 pages
length). They will be reviewed by the program committee and non-anonymous
reviews will be made available at the workshop website. Papers must mention
''unshared task'' in their titles. The unshared task work will be presented in
a special poster session followed by an open discussion. Submissions of the
annotated data and accompanying annotation guidelines is strongly encouraged.

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