This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
Making architectural decisions based on requirements, analyzing cost-benefit trade-offs, and keeping design options open is a difficult task. Existing work on classification of ar...
Digital Libraries will hold huge amounts of text and other forms of information. For the collections to be maximally useful, they must be highly organized with useful indexes and ...
Robert P. Futrelle, Xiaolan Zhang 0002, Yumiko Sek...
Objects are collected into an object base because of a presumed need for cooperation among them. In classical object bases the cooperation is based on synchronous, preplanned mess...