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SEMWEB
2009
Springer
15 years 4 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
COLING
2002
14 years 9 months ago
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
Hideki Isozaki, Hideto Kazawa
LREC
2010
197views Education» more  LREC 2010»
14 years 11 months ago
Question Answering Biographic Information and Social Network Powered by the Semantic Web
After several years of development, the vision of the Semantic Web is gradually becoming reality. Large data repositories have been created and offer semantic information in a mac...
Peter Adolphs, Xiwen Cheng, Tina Klüwer, Hans...
BMCBI
2010
138views more  BMCBI 2010»
14 years 10 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...