[Call for participation] Wikipedia and AI: An Evolving Synergy

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[Call for participation] Wikipedia and AI: An Evolving Synergy

Voici un appel à participation pour une conférence scientifique, qui a
la particularité d'être spécifiquement dédiée à Wikipédia...

                                            AAAI 2008 Workshop
                                        AN EVOLVING SYNERGY
                                        Chicago, IL - July 13, 2008

                                           CALL FOR PARTICIPATION


Since its inception less than seven years ago, Wikipedia has become one
of the largest and fastest
growing online sources of encyclopedic knowledge. One of the reasons why
Wikipedia is
appealing to contributors and users alike is the richness of its
embedded structural information:
articles are hyperlinked to each other and connected to categories from
an ever expanding
taxonomy; pervasive language phenomena such as synonymy and polysemy are
through redirection and disambiguation pages; entities of the same type
are described in a
consistent format using infoboxes; related articles are grouped together
in series templates.

As a large-scale repository of structured knowledge, Wikipedia has
become a valuable resource
for a diverse set of Artificial Intelligence (AI) applications. Major
conferences in natural language
processing and machine learning have recently witnessed a significant
number of approaches that
use Wikipedia for tasks ranging from text categorization and clustering
to word sense
disambiguation, information retrieval, information extraction and
question answering. On the
other hand, Wikipedia can greatly benefit from numerous algorithms and
representation models
developed during decades of AI research, as illustrated recently in
tasks such as estimating the
reliability of authors' contributions, automatic linking of articles, or
intelligent matching of
Wikipedia tasks with potential contributors.

The goal of the workshop is to foster the research and dissemination of
ideas on the mutually
beneficial interaction between Wikipedia and AI. The workshop is
intended to be highly
interdisciplinary. We encourage participation of researchers working on
Wikipedia from different
perspectives, including (but not limited to) machine learning,
computational linguistics,
information retrieval, information extraction, question answering,
knowledge representation, and
others. We also encourage participation of researchers from other areas
who might benefit from
the use of a large body of machine-readable knowledge.


Workshop topics include (but are not limited to):
- Using Wikipedia as a source of training data for AI tasks (both
supervised an unsupervised)
- Automatic methods for improving the quality of Wikipedia pages
- Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC,
- Extracting annotated data from Wikipedia
- Enriching Wikipedia with new types of structural information
- Wikipedia and the Semantic Web / Web 2.0
- Automatic extraction and use of cross-lingual information from
- Computerized use of satellite projects such as Wiktionary, Wikibooks
or Wikispecies


Participation in the workshop is open to all interested parties. To
register for the workshop,
please use the AAAI registration site at


The day long workshop will consist of presentations, demos showcasing
work presented in
the research papers, and a panel session. The workshop will also feature
an invited talk by
Dr. Michael Witbrock, Vice President of Research at Cycorp, where he
works on the Cyc project.


The list of accepted papers and presentations can be found at the
workshop web site at


Razvan Bunescu, Ohio University ([hidden email])
Evgeniy Gabrilovich, Yahoo! Research ([hidden email])
Rada Mihalcea, University of North Texas ([hidden email])


 1. Eugene Agichtein, Emory University
 2. Einat Amitay, IBM Research, Israel
 3. Mikhail Bilenko, Microsoft Research
 4. Chris Brew, Ohio State University
 5. Timothy Chklovski, Structured Commons
 6. Massimiliano Ciaramita, Yahoo! Research Barcelona, Spain
 7. Andras Csomai, University of North Texas
 8. Silviu Cucerzan, Microsoft Research
 9. Ido Dagan, Bar-Ilan University, Israel
10. Ravi Kumar, Yahoo! Research
11. Oren Kurland, Technion, Israel
12. Lillian Lee, Cornell University
13. Elizabeth Liddy, Syracuse University
14. Daniel Marcu, Information Sciences Institute, University of Southern
15. Shaul Markovitch, Technion, Israel
16. Raymond Mooney, University of Texas at Austin
17. Vivi Nastase, EML Research, Germany
18. Bo Pang, Yahoo! Research
19. Marius Pasca, Google
20. Ted Pedersen, University of Minnesota, Duluth
21. Simone Paolo Ponzetto, EML Research, Germany
22. Dragomir Radev, University of Michigan
23. Dan Roth, University of Illinois Urbana-Champaign
24. Peter Turney, National Research Council, Canada


For additional information about the workshop please contact the
organizers or visit the
workshop website at http://lit.csci.unt.edu/~wikiai08


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