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» Dimensionality Reduction for Text using Domain Knowledge
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106
Voted
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 2 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
UML
1998
Springer
15 years 6 months ago
Literate Modelling - Capturing Business Knowledge with the UML
At British Airways, we have found during several large OO projects documented using the UML that non-technical end-users, managers and business domain experts find it difficult to ...
Jim Arlow, Wolfgang Emmerich, John Quinn
151
Voted
WWW
2005
ACM
16 years 3 months ago
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, buildin...
Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mi...
EMNLP
2008
15 years 4 months ago
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Ananlada Chotimongkol, Alexander I. Rudnicky
141
Voted
APIN
2004
131views more  APIN 2004»
15 years 2 months ago
Rough Self Organizing Map
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra