220 search results - page 16 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
KDD
2008
ACM
16 years 2 days ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
97
Voted
CEAS
2007
Springer
15 years 3 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
104
Voted
ICPR
2002
IEEE
16 years 22 days ago
2002
IEEE
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
WWW
2008
ACM
16 years 10 days ago
2008
ACM
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
97
Voted
EMNLP
2009
14 years 9 months ago
2009
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...