[agents] CfP: 2nd Workshop on on Argumentation Mining

[Simon Parsons]

[With apologies for cross postings]

----------------------------------------------------------------------

2nd Workshop on on Argumentation Mining

CALL FOR PAPERS

Denver, CO, USA; June 04, 2015
(co-located with NAACL)

http://www.cs.cornell.edu/home/cardie/naacl-2nd-arg-mining/

*Submission Deadline: March 08, 2015*

WORKSHOP DESCRIPTION

The goal of this workshop is to provide a follow-on forum to last
year's very successful Argumentation Mining workshop at ACL, the
first research forum devoted to argumentation mining in all domains of
discourse.

Argumentation mining is a relatively new challenge in corpus-based
discourse analysis that involves automatically identifying
argumentative structures within a document, e.g., the premises,
conclusion, and argumentation scheme of each argument, as well as
argument-subargument and argument-counterargument relationships
between pairs of arguments in the document. To date, researchers have
investigated methods for argumentation mining of legal documents
(Mochales and Moens 2011; Bach et al. 2013; Ashley and Walker 2013;
Wyner et al. 2010), on-line debates (Cabrio and Villata 2012), product
reviews (Villalba and Saint-Dizier 2012; Wyner et al. 2012), user
comments on proposed regulations (Park and Cardie 2014), newspaper
articles and court cases (Feng and Hirst 2011). A related older strand
of research (that uses the term 'argumentative structure'
in a related but different sense than ours) has investigated
automatically classifying the sentences of a scientific
article's abstract or full text in terms of their contribution
of new knowledge to a field (e.g., Liakata et al. 2012, Teufel 2010,
Mizuta et al. 2005). In addition, argumentation mining has ties to
sentiment analysis (e.g., Somasundaran and Wiebe 2010). To date there
are few corpora with annotations for argumentation mining research
(Reed et al. 2008) although corpora with annotations for argument
sub-components have recently become available (e.g., Park and Cardie
2014).

Proposed applications of argumentation mining include improving
information retrieval and information extraction as well as end-user
visualization and summarization of arguments. Textual sources of
interest include not only the formal writing of legal text, but also a
variety of informal genres such as microtext, spoken meeting
transcripts, product reviews and user comments. In instructional
contexts where argumentation is a pedagogically important tool for
conveying and assessing students' command of course material, the
written and diagrammed arguments of students (and the mappings between
them) are educational data that can be mined for purposes of
assessment and instruction (see e.g., Ong, Litman and Brusilovsky
2014). This is especially important given the wide-spread adoption of
computer-supported peer review, computerized essay grading, and
large-scale online courses and MOOCs.

Success in argumentation mining will require interdisciplinary
approaches informed by natural language processing technology,
theories of semantics, pragmatics and discourse, knowledge of
discourse of domains such as law and science, artificial intelligence,
argumentation theory, and computational models of argumentation. In
addition, it will require the creation and annotation of high-quality
corpora of argumentation from different types of sources in different
domains.

This workshop will solicit FULL PAPERS and SHORT PAPERS for oral and
poster presentations as well as DEMOS of argument/argumentation mining
systems and tools.

Specific topics for submissions include:

o Automatic identification of argument elements (e.g., premises and
conclusion; data, claim and warrant), argumentation schemes,
relationships between arguments in a document, and relationships to
discourse goals (e.g. stages of a “critical discussion”) and/or
rhetorical strategies;

o Creation/evaluation of argument annotation schemes, relationship of
argument annotation to linguistic and discourse structure annotation
schemes, (semi)automatic argument annotation methods and tools, and
creation/annotation of high-quality shared argumentation corpora;

o Processing strategies integrating NLP methods and AI models
developed for argumentation such as argumentation frameworks;

o Applications of argument/argumentation mining to, e.g., mining
requirements and technical documents, analysis of arguments in
dialogue (meetings, etc.), opinion analysis and mining consumer
reviews, evaluation of students’ written arguments and argument
diagrams, and information access (retrieval, extraction,
summarization, and visualization) in scientific and legal documents;

o Argument mining and user generated content (UGC): automatic
identification of argument elements in UGC, automatic identification
and classification of relations between argument elements,
relationships to discourse goals/rhetorical strategies in UGC,
manually annotated and applications related to argument mining in
UGC;

o Descriptions of implemented systems and tools for
argument/argumentation mining;

o Descriptions and proposals for shared tasks;

o Student research proposals.

SUBMISSION INFORMATION

We will be using the NAACL 2015 Submission Guidelines
(http://naacl.org/naacl-pubs/) for all submissions.  Authors are
invited to submit a FULL PAPER of up to 9 pages of content with up to
2 additional pages for references.  We also invite SHORT PAPERS of up
to 5 pages of content, including 2 additional pages for references.
(Depending on the number and type of submissions, some long papers
might be accepted as short papers.)

Papers that describe systems or tools are also invited to give a DEMO
of their system. If you would like to present a demo in addition to
presenting the paper, please make sure to select either "full paper +
demo" or "short paper + demo" under "Submission Category" in the START
submission page.

Previously published papers cannot be accepted. The submissions will
be reviewed by the program committee.  As reviewing will be blind,
please ensure that papers are anonymous.  Self-references that reveal
the author's identity, e.g., "We previously showed (Smith, 1991) ...",
should be avoided. Instead, use citations such as "Smith previously
showed (Smith, 1991) ...".

Please use the 2015 NAACL style sheets for composing your paper:
http://naacl.org/naacl-pubs/.

We will be using the START conference system to manage submissions
(link forthcoming).

IMPORTANT DATES

Submission Deadline: March 08 - 23:59 EST (New York City Time)
Notification of Acceptance: March 30
Camera-ready Papers Due: April 08 (*just 1 week*)
Workshop: June 04

ORGANIZING COMMITTEE

Claire Cardie (Chair), Cornell University, USA
Nancy Green, University of North Carolina Greensboro, USA
Iryna Gurevych, Technische Universität Darmstadt, Germany
Graeme Hirst, University of Toronto, Canada
Diane Litman, University of Pittsburgh, USA
Smaranda Muresan, Columbia University, USA
Georgios Petasis, N.C.S.R. “Demokritos”, Greece
Manfred Stede, Universität Potsdam, Germany
Marilyn Walker, University of California Santa Cruz, USA
Janyce Wiebe, University of Pittsburgh, USA

Please write to:argument.mining at gmail.com  with any questions.

PROGRAM COMMITTEE

* Stergos Afantenos, IRIT Toulouse – France
* Kevin Ashley, University of Pittsburgh – USA
* Floris Bex, University of Groningen - The Netherlands
* Elena Cabrio, INRIA Sophia-Antipolis Méditerranée - France
* Claire Cardie, Cornell University – USA
* Chrysanne Dimarco, University of Waterloo -  Canada
* Massimiliano Giacomin, University of Brescia – Italy
* Matthias Grabmair, University of Pittsburgh - USA
* Floriana Grasso, University of Liverpool - UK
* Nancy Green, University of N.C. Greensboro – USA
* Iryna Gurevych, Universitat Darmstadt – Germany
* Ivan Habernal, DIPF institute Frankfurt – Germany
* Graeme Hirst, University of Toronto – Canada
* Vangelis Karkaletsis, National Centre for Scientific Research (N.C.S.R.) - Greece
* Valia Kordoni, Humboldt Universitaet zu Berlin - Germany
* Joao Leite, FCT-UNL - Universidade Nova de Lisboa – Portugal
* Beishui Liao, Zhejiang University – China
* Maria Liakata, University of Warwick - UK
* Diane Litman, University of Pittsburgh – USA
* Bernardo Magnini, FBK Trento – Italy
* Robert Mercer, University of Western Ontario – Canada
* Marie-Francine Moens, Katholieke Universiteit Leuven – Belgium
* Smaranda Muresan, Columbia University – USA
* Fabio Paglieri, CNR – Italy
* Alexis Palmer, Saarland University – Germany
* Joonsuk Park, Cornell University – USA
* Simon Parsons, University of Liverpool – UK
* Carolyn Rose, Carnegie Mellon University –  USA
* Georgios Petasis, N.C.S.R. "Demokritos" – Greece
* Craig Pfeifer, MITRE – USA
* Chris Reed, University of Dundee – UK
* Ariel Rosenfeld, Bar-Ilan University – Israel
* Patrick Saint-Dizier, Institut de Recherches en Informatique de Toulouse – France
* Christian Schunn, University Pittsburgh – USA
* Jodi Schneider, INRIA Sophia-Antipolis Méditerranée – France
* Noam Slonim, IBM – Israel
* Steffen Staab, University of Koblenz – Germany
* Manfred Stede, Universitat Potsdam – Germany
* Simone Teufel, University of Cambridge – UK
* Marilyn Walker, University of California Santa Cruz – USA
* Vern Walker, Hofstra University – USA
* Janyce Wiebe, University of Pittsburgh – USA
* Serena Villata, INRIA Sophia-Antipolis Méditerranée – France
* Lu Wang, Cornell University - USA
* Adam Wyner, University Aberdeen – UK

-- 
------------------------------------------------------------
Simon Parsons
Professor of Autonomous Systems
Department of Computer Science
University of Liverpool
tel: +44 151 795 4282
url: http://cgi.csc.liv.ac.uk/~sp
------------------------------------------------------------