## Abstract In this article we present a semiβsupervised active learning algorithm for pattern discovery in information extraction from textual data. The patterns are reduced regular expressions composed of various characteristics of features useful in information extraction. Our major contribution
β¦ LIBER β¦
Learning a tensor subspace for semi-supervised dimensionality reduction
β Scribed by Zhao Zhang; Ning Ye
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 730 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1432-7643
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## Abstract As the dramatic expansion of online publications continues, state libraries urgently need effective tools to organize and archive the huge number of government documents published online. Automatic text categorization techniques can be applied to classify documents approximately, given