[Elsnet-list] 2nd CfP COLING 2010 - 2nd Workshop on Collaboratively Constructed Semantic Resources

Torsten Zesch zesch at tk.informatik.tu-darmstadt.de
Tue Apr 20 13:21:19 CEST 2010


2nd Workshop on
"The People's Web meets NLP:
Collaboratively Constructed Semantic Resources"

August 28th, 2010

Wikipedia, Wiktionary, Mechanical Turk, Games with a purpose,
Folksonomies, Twitter, Social Networks


The workshop builds upon the success of the first ACL "The People's Web
meets NLP" Workshop in 2009 that attracted 21 submissions. Accepted
submissions included papers on Wikipedia [1], Wiktionary [2], Mechanical
Turk [3], and game-based construction of semantic resources [4]. This
clearly demonstrates a substantial and growing interest of the NLP
community in collaboratively constructed semantic resources (CSRs),
also evidenced by the increasing number of publications in this area
and the EMNLP 2009 Web 2.0 track. In many works, CSRs have been used
to overcome the knowledge acquisition bottleneck and coverage problems
pertinent to conventional lexical semantic resources. The greatest
popularity in this respect can so far certainly be attributed to
Wikipedia [1]. However, other resources, such as folksonomies or the
multilingual collaboratively constructed dictionary Wiktionary, have
also shown great potential. Thus, the scope of the workshop deliberately
includes any collaboratively constructed resource, not only Wikipedia.

Effective deployment of CSRs to enhance NLP introduces a pressing need
to address a set of fundamental challenges, e.g. the interoperability
with existing resources, or the quality of the extracted lexical
semantic knowledge. Interoperability between resources is crucial as
no single resource provides perfect coverage. The quality of CSRs is
a fundamental issue, as they lack editorial control and entries are
often incomplete. Thus, techniques for link prediction [5] or
information extraction [6] have been proposed to guide the "crowds"
while constructing resources of better quality.

[1] Olena Medelyan, David Milne, Catherine Legg and Ian H. Witten.
    Mining meaning from Wikipedia.
    In: International Journal of Human-Computer Studies. 67(9), 2009.
[2] Torsten Zesch, Christof Mueller and Iryna Gurevych
    Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
    Proceedings of the Conference on Language Resources and Evaluation
    (LREC), 2008.
[3] Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng.
    Cheap and Fast---But is it Good? Evaluating Non-Expert Annotations
    for Natural Language Tasks.
    Proceedings of EMNLP. 2008.
[4] Luis von Ahn and Laura Dabbish.
    General Techniques for Designing Games with a Purpose.
    Communications of the ACM, 2008.
[5] Rada Mihalcea and Andras Csomai
    Wikify!: Linking Documents to Encyclopedic Knowledge.
    Proceedings of the Sixteenth ACM Conference on Information and
    Knowledge Management, CIKM 2007.
[6] Daniel S. Weld et al.
    Intelligence in Wikipedia.
    Twenty-Third Conference on Artificial Intelligence (AAAI), 2008.


The workshop will bring together researchers from different worlds, for
example those using collaboratively constructed resources as sources of
lexical semantic information for NLP purposes such as information
retrieval, named entity recognition, or keyword extraction, and those
using NLP techniques to improve the resources or extract and analyze
different types of lexical semantic information from them. We will
especially welcome contributions of interdisciplinary nature, e.g. those
applying discourse analysis techniques from computational linguistics to
the content of CSRs to better understand their properties.

Specific topics include but are not limited to:
 * Analysis of collaboratively constructed resources, such as wiki-based
   platforms, folksonomies, Twitter, or social networks;
 * Using collaboratively constructed resources for NLP purposes such
   as information retrieval, text categorization, information
   extraction, etc.;
 * Using special features of collaboratively constructed resources to
   create novel resource types, for example revision-based corpora,
   simplified versions of resources, etc.;
 * Analyzing the structure of collaboratively constructed resources
   related to their use in NLP;
 * Interoperability of collaboratively constructed resources with
   conventional lexical semantic resources and between themselves;
 * Mining social and collaborative content for constructing structured
   semantic resources and the corresponding tools;
 * Mining multilingual information from collaboratively constructed
 * Quality and reliability of collaboratively constructed semantic

We especially encourage short papers describing publicly available tools
for accessing or analyzing collaboratively constructed resources that can
serve as a multiplier in the NLP community.

The workshop is intended to be highly interdisciplinary. Thus, we encourage
the participation of researchers working on computational linguistics
aspects (e.g. parsing or discourse analysis) or NLP applications (e.g.
information retrieval, information extraction, question answering, and
knowledge representation) as well as researchers from other areas who
might benefit from collaboratively constructed semantic resources.

Substantially extended versions of the best papers from the workshop can
be submitted to a planned Special Issue in one of the major computational
linguistics journals. The revised papers will have to undergo a separate
reviewing process required for journal publications.


Paper submission deadline (full and short): May  30, 2010
Notification of acceptance of papers:       June 30, 2010
Camera-ready copy of papers due:            July 10, 2010
COLING 2010 Workshop:                       Aug  28, 2010


Iryna Gurevych
Torsten Zesch

Ubiquitous Knowledge Processing Lab
Technische Universität Darmstadt, Germany


Andras Csomai         Google Inc.
Anette Frank          Heidelberg University
Benno Stein           Bauhaus University Weimar
Bernardo Magnini      ITC-irst Trento
Christiane Fellbaum   Princeton University
Dan Moldovan          University of Texas at Dallas
Delphine Bernhard     LIMSI-CNRS, Orsay
Diana McCarthy        University of Sussex
Elke Teich            Technische Universität Darmstadt
Emily Pitler          University of Pennsylvania
Eneko Agirre          University of the Basque Country
Erhard Hinrichs       Eberhard Karls Universität Tübingen
Ernesto De Luca       Technische Universität Berlin
Florian Laws          University of Stuttgart
Gerard de Melo        MPI Saarbrücken
German Rigau          University of the Basque Country
Graeme Hirst          University of Toronto
Günter Neumman        DFKI Saarbrücken
György Szarvas        Technische Universität Darmstadt
Hans-Peter Zorn       European Media Lab, Heidelberg
José Iria             University of Sheffield
Laurent Raumary       LORIA, Nancy
Magnus Sahlgren       Swedish Institute of Computer Science
Manfred Stede         Potsdam University
Omar Alonso           A9.com, Inc.
Pablo Castells        Universidad Autónonoma de Madrid
Paul Buitelaar        DERI, National University of Ireland, Galway
Philipp Cimiano       Delft University of Technology
Razvan Bunescu        University of Texas at Austin
Rene Witte            Concordia University Montréal
Roxana Girju          University of Illinois at Urbana-Champaign
Saif Mohammad         University of Maryland
Samer Hassan          University of North Texas
Sören Auer            Leipzig University
Tonio Wandmacher      CEA, Paris

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