[Corpora-List] CFP PAN'09: 3rd Int. PAN Workshop - 1st Competition on Plagiarism Detection

Tue Mar 3 12:37:20 UTC 2009

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CFP PAN'09: 3rd Int. PAN Workshop - 1st Competition on Plagiarism Detection

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                  Satellite workshop of 25th SEPLN Conference

                  Donostia-San Sebastián, September 10

                      <http://www.webis.de/pan-09>
http://www.webis.de/pan-09

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About the PAN Workshop:

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The workshop shall bring together experts and researchers around the
exciting and future-oriented topics of plagiarism detection, authorship
identification, and the detection of social software misuse. The development
of new solutions for these problems can benefit from the combination of
existing technologies, and in this sense the workshop provides a platform
that spans different views and approaches. The following list gives examples
from the outlined fields for which contributions are welcome, but not
restricted to:

Plagiarism detection:

  * plagiarism detection in general, in Web communities and social networks,
and cross-language plagiarism

  * identifying near-duplicate and versioned documents of all kinds:  

text, software, image, music, video

  * technology for high-similarity retrieval such as fingerprinting and
similarity hashing

Authorship identification:

  * models for authorship identification, authorship attribution, and
writing style

  * NLP- and knowledge-based retrieval models to capture personal traits and
sentiment

  * Web forensics, community fraud, and new Web infringements

Social Software Misuse Detection:

  * uncovering serial sharing and lobbying

  * monitoring vandalism, trolling, or stalking

  * trust, psychological and personality-based user studies, social aspects
of Web misuse

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Background:

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Plagiarism analysis is a collective term for computer-based methods to
identify a plagiarism offense. In connection with text documents we
distinguish between corpus-based and intrinsic analysis: the former compares
suspicious documents against a set of potential original documents, the
latter identifies potentially plagiarized passages by analyzing the
suspicious document with respect to changes in writing style.

Authorship identification divides into so-called attribution and
verification problems. In the authorship attribution problem, one is given
examples of the writing of a number of authors and is asked to determine
which of them authored given anonymous texts. In the authorship verification
problem, one is given examples of the writing of a single author and is
asked to determine if given texts were or were not written by this author.
As a categorization problem, verification is significantly more difficult
than attribution. Authorship verification and intrinsic plagiarism analysis
represent two sides of the same coin.

"Social Software Misuse" can nowadays be noticed on many social software
based platforms. These platforms like Blogs, sharing sites for photos and
videos, wikis and online forums are contributing up to one third of new Web
content.

"Social Software Misuse" is a collective term for anti-social behavior in
online communities; an example is the distribution of spam via the e-mail
infrastructure. Interestingly, spam is one of the few misuses for which
detection technology is developed at all, though various forms of misuse
exist that threaten the different online communities.  

Our workshop shall close this gap and invites contributions concerned with
all kinds of social software misuse.

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About the Competition on Plagiarism Detection:

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The detection of plagiarism by hand is a laborious retrieval task, a task
which can be aided or automatized. The PAN competition on plagiarism
detection shall foster the development of new solutions in this respect.

The competition divides into two tracks:

  * External Plagiarism Analysis. Given a set of suspicious documents and a
set of potential source documents the task is to find all passages within
the suspiscious documents which have been plagairized from one or more of
the source documents.

  * Intrinsic Plagiarism Analysis. Given a set of suspicious documents the
task is to detect paragraphs in the documents which have not been written by
its main author. No source documents are given in this task.

A large corpus of artificial plagiarism containing cases which have been
obfuscated and/or translated will be released for the competition.

A development corpus, to be used in developing a detection software, will be
released two months before the competition starts, a competition corpus will
be used to evaluate and compare detection softwares. The former will contain
fully annotated plagiarism cases, the latter will not.

The succes of a plagiarism detection software will be measured in terms of
its precision, recall, and granularity.

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Important Dates:

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open                Notification of interest for participation

21.03.2009         Release of the development corpus

21.05.2009         Release of the competition corpus

07.06.2009         Submission deadline for the competition

15.06.2009         Notification of competition results

01.07.2009         Submission deadline for the papers

15.07.2009         Notification of reviews

01.08.2009         Submission deadline for final version of the papers

10.09.2009 (afternoon)  PAN Workshop

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Workshop Organization:

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Benno Stein             Bauhaus University Weimar, Germany

Paolo Rosso             Universidad Politécnica de Valencia, Spain

Efstathios Stamatatos   University of the Aegean, Greece

Moshe Koppel            Bar-Ilan University, Israel

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Competition Organization:

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Bauhaus University Weimar:

Benno Stein, Martin Potthast, and Andreas Eiselt

Universidad Politécnica de Valencia:

Paolo Rosso and Alberto Barrón Cedeño

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Contact:

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 <mailto:pan09 at webis.de> pan09 at webis.de

Information about workshop and competition can be found at
<http://www.webis.de/pa> http://www.webis.de/pa

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