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NIPS
2008
13 years 10 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
TSD
1999
Springer
14 years 27 days ago
Prague Dependency Treebank: Restoration of Deletions
The use of the treebank as a resource for linguistic research has led us to look for an annotation scheme representing not only surface syntactic information (in ‘analytic treesâ...
Eva Hajicová, Ivana Kruijff-Korbayová...
ICPR
2004
IEEE
14 years 9 months ago
Unsupervised Band Selection for Multispectral Images using Information Theory
In this paper, the implication of the relations of information in the case of multispectral images is analyzed. Higher-order mutual information can adopt positive or negative valu...
Arnoud C. Klaren, Filiberto Pla, José Mart&...
ACL
2006
13 years 10 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning
ACL
2009
13 years 6 months ago
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu ...