35 search results - page 5 / 7 » CBC: Clustering Based Text Classification Requiring Minimal ... |
JIFS
2008
13 years 6 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
EMNLP
2004
13 years 8 months ago
2004
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
ECML
2007
Springer
14 years 23 days ago
2007
Springer
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
ACL
2009
13 years 4 months ago
2009
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
PAMI
2011
13 years 1 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...