141 search results - page 2 / 29 » Semi-Supervised Semantic Role Labeling |
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
EMNLP
2010
13 years 3 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We propose a method for labelling prepositional phrases according to two different semantic role classifications, as contained in the Penn treebank and the CoNLL 2004 S...
EMNLP
2008
13 years 6 months ago
2008
We present a PropBank semantic role labeling system for English that is integrated with a dependency parser. To tackle the problem of joint syntactic