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Category:   E-CFP
Subject:   IJCAI'09 Workshop on User-contributed knowledge and Artificial Intelligence : Call for Participation
Email:   bunescu_(on)_ohio.edu
Date received:   14 May 2009
Start date:   13 Jul 2009

IJCAI 2009 Workshop USER-CONTRIBUTED KNOWLEDGE AND ARTIFICIAL INTELLIGENCE: AN EVOLVING SYNERGY Pasadena, CA - July 13, 2009 http://lit.csci.unt.edu/~wikiai09 CALL FOR PARTICIPATION OVERVIEW The performance of an Artificial Intelligence system often depends on the amount of world knowledge available to it. During the last decade, the AI community has witnessed the emergence of a number of highly structured knowledge repositories whose collaborative nature has led to a dramatic increase in the amount of world knowledge that can now be exploited in AI applications. Arguably, the best-known repository of user-contributed knowledge is Wikipedia. Since its inception less than eight years ago, it 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. Many more repositories of user-contributed knowledge exist besides Wikipedia. Collaborative tagging in Delicious and community-driven question answering in Yahoo! Answers and Wiki Answers are only a few examples of knowledge sources that, like Wikipedia, can become a valuable asset for AI researchers. Furthermore, AI methods have the potential to improve these resources, as demonstrated recently by research on personalized tag recommendations, or on matching user questions with previously answered questions. The goal of the workshop is to foster the research and dissemination of ideas on the mutually beneficial interaction between AI and repositories of user-contributed knowledge. We encourage the participation of researchers 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 large bodies of machine-readable knowledge. TOPICS Topics covered by this workshop include, but are not limited to: - Using user-contributed knowledge as a source of training data for AI tasks - Automatic methods for improving the quality of user contributions - Routing tasks to people who have the expertise to perform them well - Integrating Wikipedia with existing ontologies (e.g. WordNet, CYC, ODP) - Extracting annotated data from user contributions - Enriching user contributions with new types of structural information - User-contributed knowledge and the Semantic Web / Web 2.0 - Automatic extraction and use of cross-lingual information PARTICIPATION Participation in the workshop is open to all interested parties. To register for the workshop, please use the IJCAI registration site at https://www.aaai.org/Forms/ijcai-registration-form.php WORKSHOP FORMAT This one-day long workshop will consist of presentations of research papers, and invited talks by Eugene Agichtein (Emory University) and Timothy Chklovski (Factual Inc.). ACCEPTED PAPERS The list of accepted papers and presentations can be found at the workshop web site at: http://lit.csci.unt.edu/~wikiai09/index.php/Accepted_papers ORGANIZING COMMITTEE 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) Vivi Nastase, EML Research (vivi.nastase_(at)_eml-r.villa-bosch.de) PROGRAM COMMITTEE 1. Michele Banko, University of Washington 2. Misha Bilenko, Microsoft Research 3. Yunbo Cao, Microsoft Research 4. Timothy Chklovski, Structured Commons 5. Andras Csomai, Google 6. Silviu Cucerzan, Microsoft Research 7. James Fan, IBM 8. Iryna Gurevych, TU Darmstadt, Germany 9. Eduard Hovy, USC / Information Sciences Institute 10. Rohit Kate, University of Texas at Austin 11. Ravi Kumar, Yahoo! Research 12. Oren Kurland, Technion, Israel 13. Lillian Lee, Cornell University 14. Daniel Marcu, USC / Information Sciences Institute 15. Shaul Markovitch, Technion, Israel 16. Hwee Tou Ng, National University of Singapore 17. Vincent Ng, University of Texas at Dallas 18. Bo Pang, Yahoo! Research 19. Patrick Pantel, Yahoo! Research 20. Marius Pasca, Google 21. Simone Paolo Ponzetto, EML Research, Germany 22. John Prager, IBM 23. Michael Strube, EML Research, Germany 24. Mihai Surdeanu, Yahoo! Research, Barcelona 25. Peter Turney, National Research Council, Canada 26. Dan Weld, University of Washington 27. Michael Witbrock, CYC 28. Qiang Yang, HKUST, Hong Kong 29. Hugo Zaragoza, Yahoo! Research ADDITIONAL INFORMATION For additional information about the workshop please contact the organizers or visit the workshop website at http://lit.csci.unt.edu/~wikiai09 _______________________________________________ Elsnet-list mailing list Elsnet-list_(at)_mailman.let.uu.nl http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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