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IJCAI
2003
13 years 9 months ago
Learning to Classify Texts Using Positive and Unlabeled Data
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Xiaoli Li, Bing Liu
ENTCS
2008
137views more  ENTCS 2008»
13 years 8 months ago
Computerizing Mathematical Text with MathLang
Mathematical texts can be computerized in many ways that capture differing amounts of the mathematical meaning. At one end, there is document imaging, which captures the arrangeme...
Fairouz Kamareddine, J. B. Wells
ICIP
1999
IEEE
14 years 9 months ago
Text Enhancement for Laser Copiers
The vast majority of copied documents generally consist of text, and the copy quality mostly depends on the text's reproduction quality. A new technique to enhance dark text ...
Hakan Ancin, Anoop K. Bhattacharjya
SOUPS
2009
ACM
14 years 2 months ago
Sanitization's slippery slope: the design and study of a text revision assistant
For privacy reasons, sensitive content may be revised before it is released. The revision often consists of redaction, that is, the “blacking out” of sensitive words and phras...
Richard Chow, Ian Oberst, Jessica Staddon
CHI
1998
ACM
14 years 3 days ago
Beyond Paper: Supporting Active Reading with Free Form Digital Ink Annotations
Reading frequently involves not just looking at words on a page, but also underlining, highlighting and commenting, either on the text or in a separate notebook. This combination ...
Bill N. Schilit, Gene Golovchinsky, Morgan N. Pric...