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» Building Hybrid Knowledge Representations from Text
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119
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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 4 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
144
Voted
TITB
2002
142views more  TITB 2002»
15 years 3 months ago
Building a bioinformatics ontology using OIL
This paper describes the initial stages of building an ontology of bioinformatics and molecular biology. The conceptualisation is encoded using the Ontology Inference Layer (OIL),...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
130
Voted
CIKM
2008
Springer
15 years 5 months ago
Semi-supervised text categorization by active search
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu...
145
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AAI
2005
117views more  AAI 2005»
15 years 3 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
CMC
1998
Springer
15 years 7 months ago
The IntelliMedia WorkBench - An Environment for Building Multimodal Systems
Abstract. Intelligent MultiMedia (IntelliMedia) focuses on the computer processing and understanding of signal and symbol input from at least speech, text and visual images in term...
Tom Brøndsted, Paul Dalsgaard, Lars Bo Lars...