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IJCAI
2003
13 years 8 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 11 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
13 years 11 months ago
Joins that Generalize: Text Classification Using WHIRL
WHIRL is an extensionof relational databasesthat canperform "soft joins" basedon the similarity of textual identifiers;thesesoftjoins extendthe traditional operationof j...
William W. Cohen, Haym Hirsh
BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
13 years 7 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
IS
2008
13 years 7 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang