[Call for participation] Wikipedia and AI: An Evolving Synergy
Einat Amitay <einat-7z/[email protected]> Wed, 28 May 2008 10:38:17 +0300
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AAAI 2008 Workshop
WIKIPEDIA AND ARTIFICIAL INTELLIGENCE: AN EVOLVING
SYNERGY
Chicago, IL - July 13, 2008
http://lit.csci.unt.edu/~wikiai08
CALL FOR PARTICIPATION
OVERVIEW
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
addressed
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.
TOPICS
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, 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
Wikispecies
PARTICIPATION
Participation in the workshop is open to all interested parties. To
register for the workshop,
please use the AAAI registration site at
https://www.aaai.org/Forms/aaai-registration-form.php
WORKSHOP FORMAT
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.
ACCEPTED PAPERS
The list of accepted papers and presentations can be found at the workshop
web site at
http://lit.csci.unt.edu/~wikiai08/index.php/Accepted_papers
ORGANIZING COMMITTEE
Razvan Bunescu, Ohio University (bunescu-WI+1/[email protected])
Evgeniy Gabrilovich, Yahoo! Research (gabr-ZXvpkYn067l8UrSeD/[email protected])
Rada Mihalcea, University of North Texas ([email protected])
PROGRAM COMMITTEE
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
California
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
ADDITIONAL INFORMATION
For additional information about the workshop please contact the organizers
or visit the
workshop website at http://lit.csci.unt.edu/~wikiai08
--S4bAhiSAMAwx9Waw7N2jbPZrfgHbhH6vZACcZZv
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<p><br>
AAAI 2008 Workshop<br>
WIKIPEDIA AND ARTIFICIAL INTELLIGENCE: AN EVOLVING<br>
SYNERGY<br>
Chicago, IL - July 13, 2008<br>
<a href="http://lit.csci.unt.edu/~wikiai08">http://lit.csci.<wbr>unt.edu/~<wbr>wikiai08</a><br>
<br>
CALL FOR PARTICIPATION<br>
<br>
OVERVIEW<br>
<br>
Since its inception less than seven years ago, Wikipedia has become one of<br>
the largest and fastest<br>
growing online sources of encyclopedic knowledge. One of the reasons why<br>
Wikipedia is<br>
appealing to contributors and users alike is the richness of its embedded<br>
structural information:<br>
articles are hyperlinked to each other and connected to categories from an<br>
ever expanding<br>
taxonomy; pervasive language phenomena such as synonymy and polysemy are<br>
addressed<br>
through redirection and disambiguation pages; entities of the same type are<br>
described in a<br>
consistent format using infoboxes; related articles are grouped together in<br>
series templates.<br>
<br>
As a large-scale repository of structured knowledge, Wikipedia has become a<br>
valuable resource<br>
for a diverse set of Artificial Intelligence (AI) applications. Major<br>
conferences in natural language<br>
processing and machine learning have recently witnessed a significant<br>
number of approaches that<br>
use Wikipedia for tasks ranging from text categorization and clustering to<br>
word sense<br>
disambiguation, information retrieval, information extraction and question<br>
answering. On the<br>
other hand, Wikipedia can greatly benefit from numerous algorithms and<br>
representation models<br>
developed during decades of AI research, as illustrated recently in tasks<br>
such as estimating the<br>
reliability of authors' contributions, automatic linking of articles, or<br>
intelligent matching of<br>
Wikipedia tasks with potential contributors.<br>
<br>
The goal of the workshop is to foster the research and dissemination of<br>
ideas on the mutually<br>
beneficial interaction between Wikipedia and AI. The workshop is intended<br>
to be highly<br>
interdisciplinary. We encourage participation of researchers working on<br>
Wikipedia from different<br>
perspectives, including (but not limited to) machine learning,<br>
computational linguistics,<br>
information retrieval, information extraction, question answering,<br>
knowledge representation, and<br>
others. We also encourage participation of researchers from other areas who<br>
might benefit from<br>
the use of a large body of machine-readable knowledge.<br>
<br>
TOPICS<br>
<br>
Workshop topics include (but are not limited to):<br>
- Using Wikipedia as a source of training data for AI tasks (both<br>
supervised an unsupervised)<br>
- Automatic methods for improving the quality of Wikipedia pages<br>
- Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC, ODP)<br>
- Extracting annotated data from Wikipedia<br>
- Enriching Wikipedia with new types of structural information,<br>
- Wikipedia and the Semantic Web / Web 2.0<br>
- Automatic extraction and use of cross-lingual information from Wikipedia<br>
- Computerized use of satellite projects such as Wiktionary, Wikibooks or<br>
Wikispecies<br>
<br>
PARTICIPATION<br>
<br>
Participation in the workshop is open to all interested parties. To<br>
register for the workshop,<br>
please use the AAAI registration site at<br>
<a href="https://www.aaai.org/Forms/aaai-registration-form.php">https://www.<wbr>aaai.org/<wbr>Forms/aaai-<wbr>registration-<wbr>form.php</a><br>
<br>
WORKSHOP FORMAT<br>
<br>
The day long workshop will consist of presentations, demos showcasing work<br>
presented in<br>
the research papers, and a panel session. The workshop will also feature an<br>
invited talk by<br>
Dr. Michael Witbrock, Vice President of Research at Cycorp, where he works<br>
on the Cyc project.<br>
<br>
ACCEPTED PAPERS<br>
<br>
The list of accepted papers and presentations can be found at the workshop<br>
web site at<br>
<a href="http://lit.csci.unt.edu/~wikiai08/index.php/Accepted_papers">http://lit.csci.<wbr>unt.edu/~<wbr>wikiai08/<wbr>index.php/<wbr>Accepted_<wbr>papers</a><br>
<br>
ORGANIZING COMMITTEE<br>
<br>
Razvan Bunescu, Ohio University (<a href="mailto:bunescu%40ohio.edu">bunescu@ohio.<wbr>edu</a>)<br>
Evgeniy Gabrilovich, Yahoo! Research (<a href="mailto:gabr%40yahoo-inc.com">gabr@yahoo-inc.<wbr>com</a>)<br>
Rada Mihalcea, University of North Texas (<a href="mailto:rada%40cs.unt.edu">[email protected]<wbr>edu</a>)<br>
<br>
PROGRAM COMMITTEE<br>
<br>
1. Eugene Agichtein, Emory University<br>
2. Einat Amitay, IBM Research, Israel<br>
3. Mikhail Bilenko, Microsoft Research<br>
4. Chris Brew, Ohio State University<br>
5. Timothy Chklovski, Structured Commons<br>
6. Massimiliano Ciaramita, Yahoo! Research Barcelona, Spain<br>
7. Andras Csomai, University of North Texas<br>
8. Silviu Cucerzan, Microsoft Research<br>
9. Ido Dagan, Bar-Ilan University, Israel<br>
10. Ravi Kumar, Yahoo! Research<br>
11. Oren Kurland, Technion, Israel,<br>
12. Lillian Lee, Cornell University<br>
13. Elizabeth Liddy, Syracuse University<br>
14. Daniel Marcu, Information Sciences Institute, University of Southern<br>
California<br>
15. Shaul Markovitch, Technion, Israel<br>
16. Raymond Mooney, University of Texas at Austin<br>
17. Vivi Nastase, EML Research, Germany<br>
18. Bo Pang, Yahoo! Research<br>
19. Marius Pasca, Google<br>
20. Ted Pedersen, University of Minnesota, Duluth<br>
21. Simone Paolo Ponzetto, EML Research, Germany<br>
22. Dragomir Radev, University of Michigan<br>
23. Dan Roth, University of Illinois Urbana-Champaign<br>
24. Peter Turney, National Research Council, Canada<br>
<br>
ADDITIONAL INFORMATION<br>
<br>
For additional information about the workshop please contact the organizers<br>
or visit the<br>
workshop website at <a href="http://lit.csci.unt.edu/~wikiai08">http://lit.csci.<wbr>unt.edu/~<wbr>wikiai08</a><br>
<br>
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