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» Automatic Wrappers for Large Scale Web Extraction
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ICML
2004
IEEE
14 years 9 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
PDPTA
2010
13 years 6 months ago
Enhancing the Discovery of Web Services: A Keyword-oriented Multiontology Reconciliation
Abstract-- The success of Web Services as a tool to decouple and distribute different processes is beyond any doubt. On the one hand, their distributed nature makes them perfect to...
Carlos Bobed, Eduardo Mena
WSDM
2012
ACM
236views Data Mining» more  WSDM 2012»
12 years 4 months ago
Effective query formulation with multiple information sources
Most standard information retrieval models use a single source of information (e.g., the retrieval corpus) for query formulation tasks such as term and phrase weighting and query ...
Michael Bendersky, Donald Metzler, W. Bruce Croft
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 11 months ago
Harnessing the wisdom of the crowds for accurate web page clipping
Clipping Web pages, namely extracting the informative clips (areas) from Web pages, has many applications, such as Web printing and e-reading on small handheld devices. Although m...
Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Li...
JNW
2008
171views more  JNW 2008»
13 years 9 months ago
The Necessity of Semantic Technologies in Grid Discovery
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
Serena Pastore