1890 search results - page 3 / 378 » Graph-Based Concept Learning |
NAACL
2007
14 years 8 days 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
2010
13 years 9 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,...
EMNLP
2010
13 years 8 months ago
2010
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
COLT
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. The regularization functional induced by the graph Laplacian of a random neighborhood graph based on the data is adaptive in two ways. First it adapts to an underlying ma...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...