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» On Semi-Supervised Classification
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ACL
2010
13 years 3 months ago
Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification
In this paper, we adopt two views, personal and impersonal views, and systematically employ them in both supervised and semi-supervised sentiment classification. Here, personal vi...
Shoushan Li, Chu-Ren Huang, Guodong Zhou, Sophia Y...
EMNLP
2010
13 years 3 months ago
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
Longhua Qian, Guodong Zhou
SIGDIAL
2010
13 years 3 months ago
Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations
Two of the main corpora available for training discourse relation classifiers are the RST Discourse Treebank (RST-DT) and the Penn Discourse Treebank (PDTB), which are both based ...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
13 years 3 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan
ICIC
2009
Springer
13 years 10 months ago
Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...
Shanwen Zhang, Kwok-Wing Chau