Fei Wu
About the author:
No description available of Fei Wu...
Publications by Fei Wu (bibliography)
» 2009 «
Hoffmann, Raphael, Amershi, Saleema, Patel, Kayur, Wu, Fei, Fogarty, James and Weld, Daniel S. (2009): Amplifying community content creation with mixed initiative information extraction. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1849-1858. Available online
Although existing work has explored both information extraction and community content creation, most research has focused on them in isolation. In contrast, we see the greatest leverage in the synergistic pairing of these methods as two interlocking feedback cycles. This paper explores the potential synergy promised if these cycles can be made to accelerate each other by exploiting the same edits to advance both community content creation and learning-based information extraction. We examine our proposed synergy in the context of Wikipedia infoboxes and the Kylin information extraction system. After developing and refining a set of interfaces to present the verification of Kylin extractions as a non primary task in the context of Wikipedia articles, we develop an innovative use of Web search advertising services to study people engaged in some other primary task. We demonstrate our proposed synergy by analyzing our deployment from two complementary perspectives: (1) we show we accelerate community content creation by using Kylin's information extraction to significantly increase the likelihood that a person visiting a Wikipedia article as a part of some other primary task will spontaneously choose to help improve the article's infobox, and (2) we show we accelerate information extraction by using contributions collected from people interacting with our designs to significantly improve Kylin's extraction performance.
Copyrights may apply
» 2008 «
Liu, Yanan, Wu, Fei, Zhuang, Yueting and Xiao, Jun (2008): Active post-refined multimodality video semantic concept detection with tensor representation. In: El-Saddik, Abdulmotaleb, Vuong, Son, Griwodz, Carsten, Bimbo, Alberto Del, Candan, K. Selcuk and Jaimes, Alejandro (eds.) Proceedings of the 16th International Conference on Multimedia 2008 October 26-31, 2008, Vancouver, British Columbia, Canada. pp. 91-100. Available online
Wu, Fei and Weld, Daniel S. (2008): Automatically refining the wikipedia infobox ontology. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 635-644. Available online
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia infoboxes. Machine learning systems, such as Kylin, use these infoboxes as training data, accurately extracting even more semantic knowledge from natural language text. But in order to realize the full power of this information, it must be situated in a cleanly-structured ontology. This paper introduces KOG, an autonomous system for refining Wikipedia's infobox-class ontology towards this end. We cast the problem of ontology refinement as a machine learning problem and solve it using both SVMs and a more powerful joint-inference approach expressed in Markov Logic Networks. We present experiments demonstrating the superiority of the joint-inference approach and evaluating other aspects of our system. Using these techniques, we build a rich ontology, integrating Wikipedia's infobox-class schemata with WordNet. We demonstrate how the resulting ontology may be used to enhance Wikipedia with improved query processing and other features.
Copyrights may apply
» 2007 «
Tang, John C., Drews, Clemens, Smith, Mark, Wu, Fei, Sue, Alison and Lau, Tessa (2007): Exploring patterns of social commonality among file directories at work. In: Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2007. pp. 951-960. Available online
We studied files stored by members of a work organization for patterns of social commonality. Discovering identical or similar documents, applications, developer libraries, or other files may suggest shared interests or experience among users. Examining actual file data revealed a number of individual and aggregate practices around file storage. For example, pairs of users typically have many (over 13,000) files in common. A prototype called LiveWire exploits this commonality to make file backup and restore more efficient for a work organization. We removed commonly shared files and focused on specific filetypes that represent user activity to find more meaningful files in common. The Consolidarity project explores how patterns of file commonality could encourage social networking in an organizational context. Mechanisms for addressing the privacy concerns raised by this approach are discussed.
Copyrights may apply
Wu, Fei and Weld, Daniel S. (2007): Autonomously semantifying wikipedia. In: Silva, Mario J., Laender, Alberto H. F., Baeza-Yates, Ricardo A., McGuinness, Deborah L., Olstad, Bjørn, Olsen, Øystein Haug and Falcão, André O. (eds.) Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management - CIKM 2007 November 6-10, 2007, Lisbon, Portugal. pp. 41-50. Available online
Zhang, Hong, Zhuang, Yueting and Wu, Fei (2007): Cross-modal correlation learning for clustering on image-audio dataset. In: Lienhart, Rainer, Prasad, Anand R., Hanjalic, Alan, Choi, Sunghyun, Bailey, Brian P. and Sebe, Nicu (eds.) Proceedings of the 15th International Conference on Multimedia 2007 September 24-29, 2007, Augsburg, Germany. pp. 273-276. Available online
SHOW THIS LIST ON YOUR HOMEPAGE
What do YOU think?
Give us your opinion! Do you have any comments/additions
that you would like other visitors to see?
You say:
Mar 21st, 2010
Changes to this page (author)
27 Feb 2010: Enabled abstracts to be shown on Fei Wu's author page.09 Jul 2009: Author was edited 17 Jun 2009: Author was edited
17 Jun 2009: Author was edited
29 May 2009: Author was edited
09 May 2009: Author was edited
19 Jun 2007: Author was added to the bibliography