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SIGIR
2004
ACM
16 years 2 days ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
DOCENG
2007
ACM
15 years 10 months ago
A document object modeling method to retrieve data from a very large XML document
Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for...
Seung Min Kim, Suk I. Yoo, Eunji Hong, Tae Gwon Ki...
ICDCS
2010
IEEE
15 years 10 months ago
Quantifying and Querying Network Reachability
—Quantifying and querying network reachability is important for security monitoring and auditing as well as many aspects of network management such as troubleshooting, maintenanc...
Amir R. Khakpour, Alex X. Liu
GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
15 years 10 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf
CIVR
2008
Springer
106views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Scalable Markov model-based image annotation
In this paper, we propose a novel Markov model-based formulation for the image annotation problem. In this formulation, we treat image annotation as a graph ranking problem, by de...
Changhu Wang, Lei Zhang, Hong-Jiang Zhang