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ADCS
2004
13 years 6 months ago
Co-Training on Textual Documents with a Single Natural Feature Set
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
Jason Chan, Irena Koprinska, Josiah Poon
WEBI
2004
Springer
13 years 10 months ago
Co-training with a Single Natural Feature Set Applied to Email Classification
When dealing with information overload from the Internet, such as the classification of Web pages and the filtering of email spam, a new technique called cotraining has been shown...
Jason Chan, Irena Koprinska, Josiah Poon
IJDAR
2002
108views more  IJDAR 2002»
13 years 4 months ago
Document understanding for a broad class of documents
We present a document analysis system able to assign logical labels and extract the reading order in a broad set of documents. All information sources, from geometric features and ...
Marco Aiello, Christof Monz, Leon Todoran
ICCBR
2007
Springer
13 years 11 months ago
Knowledge Extraction and Summarization for an Application of Textual Case-Based Interpretation
Abstract. This paper presents KES (Knowledge Extraction and Summarization), a new knowledge-enhanced approach that builds a case memory out of episodic textual narratives. These na...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 10 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...