125 search results - page 9 / 25 » Combining labeled and unlabeled data with word-class distrib... |
76
Voted
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
CIKM
2000
Springer
15 years 2 months ago
2000
Springer
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
91
Voted
SIGIR
2010
ACM
14 years 9 months ago
2010
ACM
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
85
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...