We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Although gender differences in a technological world are receiving significant research attention, much of the research and practice has aimed at how society and education can imp...
Laura Beckwith, Margaret M. Burnett, Susan Wiedenb...
In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Current server-side anti-spam ...
The discipline of narratology has long recognized the need to classify documents as instances of different text types. We have discovered that classification is as applicable to h...