[Elsnet-list] [Call for papers] Wikipedia and AI: An Evolving Synergy

Evgeniy Gabrilovich gabr at yahoo-inc.com
Wed Dec 5 00:43:00 CET 2007

                                          AAAI 2008 Workshop

                                           CALL FOR PAPERS


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
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
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
interdisciplinary. We encourage participation of researchers working on
Wikipedia from different 
perspectives, including (but not limited to) machine learning, computational
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. 


We invite submissions of papers addressing the following or related topics::
- Using Wikipedia as a source of training data for AI tasks (both supervised an
- Automatic methods for improving the quality of Wikipedia pages
- Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC, ODP)
- 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 Wikipedia
- Computerized use of satellite projects such as Wiktionary, Wikibooks or


The day long workshop will consist of presentations, invited talk, demos
showcasing work 
presented in the research papers, and a panel session.


We invite submissions of regular full papers (up to 6 pages), short papers
reporting on late-
breaking results (up to 3 pages), and descriptions of system demonstrations (up
to 1 page) using 
the AAAI style. Submissions that have been accepted for publication elsewhere or
are under 
review for another conference must clearly state so on the front page of the


Deadline for long papers submission         March 21, 2008
Deadline for short papers and system demos  April 7, 2008
Notification of acceptance                  April 21, 2008
Camera-ready papers due at AAAI             May 5, 2008


Razvan Bunescu, Ohio University (bunescu AT ohio.edu) 
Evgeniy Gabrilovich, Yahoo! Research (gabr AT yahoo-inc.com)
Rada Mihalcea, University of North Texas (rada AT cs.unt.edu) 


 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. Lillian Lee, Cornell University
12. Elizabeth Liddy, Syracuse University
13. Daniel Marcu, Information Sciences Institute, University of Southern
14. Shaul Markovitch, Technion, Israel
15. Raymond Mooney, University of Texas at Austin
16. Vivi Nastase, EML Research, Germany
17. Marius Pasca, Google
18. Ted Pedersen, University of Minnesota, Duluth
19. Simone Paolo Ponzetto, EML Research, Germany
20. Dragomir Radev, University of Michigan
21. Dan Roth, University of Illinois Urbana-Champaign
22. 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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