6 search results - page 1 / 2 » A Semantic Kernel to Classify Texts with Very Few Training E... |
INFORMATICASI
2006
13 years 5 months ago
2006
AWIC
2007
Springer
13 years 11 months ago
2007
Springer
A major difficulty of supervised approaches for text classification is that they require a great number of training instances in order to construct an accurate classifier. This pap...
MICAI
2007
Springer
13 years 11 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
ECAI
2006
Springer
13 years 9 months ago
2006
Springer
This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The prop...