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» A Hidden Markov Model Information Retrieval System
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WWW
2008
ACM
16 years 7 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ACL
2008
15 years 8 months ago
Sentence Simplification for Semantic Role Labeling
Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features...
David Vickrey, Daphne Koller
JTAER
2006
100views more  JTAER 2006»
15 years 6 months ago
A Model for Improving e-Security in Australian Universities
As universities seek to adopt increased e-business, e-commerce and e-learning initiates, the overall approach taken for security management within the organisation plays an increa...
Lauren May, Tim Lane
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 7 months ago
Perfectly Secure Steganography: Capacity, Error Exponents, and Code Constructions
An analysis of steganographic systems subject to the following perfect undetectability condition is presented in this paper. Following embedding of the message into the covertext,...
Ying Wang, Pierre Moulin
213
Voted
CIKM
2007
Springer
16 years 1 months ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White