Sciweavers

205 search results - page 16 / 41
» Improving hierarchical text classification using unlabeled d...
Sort
View
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 10 months ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
ESWS
2006
Springer
14 years 2 months ago
Automatic Extraction of Hierarchical Relations from Text
Abstract. Automatic extraction of semantic relationships between entity instances in an ontology is useful for attaching richer semantic metadata to documents. In this paper we pro...
Ting Wang, Yaoyong Li, Kalina Bontcheva, Hamish Cu...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 10 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
ICTIR
2009
Springer
13 years 8 months ago
Training Data Cleaning for Text Classification
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Andrea Esuli, Fabrizio Sebastiani
ICML
2000
IEEE
14 years 11 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani