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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
BMCBI
2008
144views more  BMCBI 2008»
13 years 7 months ago
Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses
Background: The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising te...
Olivo Miotto, Tin Wee Tan, Vladimir Brusic
ESWS
2009
Springer
14 years 2 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...
SEMCO
2007
IEEE
14 years 1 months ago
Nested Named Entity Recognition in Historical Archive Text
This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in t...
Kate Byrne
INFOVIS
2000
IEEE
14 years 20 hour ago
Interactive Problem Solving via Algorithm Visualization
COMIND is a tool for conceptual design of industrial products. It helps designers define and evaluate the initial design space by using search algorithms to generate sets of feasi...
Pearl Pu, Denis Lalanne