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» Effective Summarization Method of Text Documents
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AAAI
2004
13 years 11 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 11 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
KDD
2005
ACM
185views Data Mining» more  KDD 2005»
14 years 10 months ago
Mining comparable bilingual text corpora for cross-language information integration
Integrating information in multiple natural languages is a challenging task that often requires manually created linguistic resources such as a bilingual dictionary or examples of...
Tao Tao, ChengXiang Zhai
ICPR
2008
IEEE
14 years 4 months ago
A stochastic nearest neighbor character prototype approach for online writer identification
One novel technique for identifying the writer of an online handwritten document is proposed. This technique makes use of a character prototype distribution to model the specific ...
Guo Xian Tan, Christian Viard-Gaudin, Alex ChiChun...
LREC
2010
173views Education» more  LREC 2010»
13 years 11 months ago
Language Modeling Approach for Retrieving Passages in Lecture Audio Data
Spoken Document Retrieval (SDR) is a promising technology for enhancing the utility of spoken materials. After the spoken documents have been transcribed by using a Large Vocabula...
Koichiro Honda, Tomoyosi Akiba