5 search results - page 1 / 1 » Experiments in Graph-Based Semi-Supervised Learning Methods ... |
ACL
2010
13 years 2 months ago
2010
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
NAACL
2007
13 years 6 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
ACL
2006
13 years 5 months ago
2006
Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning algorithm, a label ...
AAAI
2010
13 years 6 months ago
2010
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...