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NIPS
2008
14 years 11 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
15 years 2 months 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
15 years 11 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
14 years 11 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
14 years 7 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 ...