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KDD
2009
ACM
219views Data Mining» more  KDD 2009»
15 years 10 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
15 years 10 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
KDD
2009
ACM
209views Data Mining» more  KDD 2009»
15 years 10 months ago
Collective annotation of Wikipedia entities in web text
To take the first step beyond keyword-based search toward entity-based search, suitable token spans ("spots") on documents must be identified as references to real-world...
Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, ...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
15 years 10 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...