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COLING
2010
14 years 10 months ago
Dependency Forest for Statistical Machine Translation
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms ...
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, ...
141
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JIIS
2000
120views more  JIIS 2000»
15 years 3 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...
124
Voted
SAC
2010
ACM
15 years 10 months ago
Towards the induction of terminological decision trees
A concept learning framework for terminological representations is introduced. It is grounded on a method for inducing logic decision trees as an adaptation of the classic tree in...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
120
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VISSOFT
2005
IEEE
15 years 9 months ago
The Dominance Tree in Visualizing Software Dependencies
Dominance analysis from graph theory allows one to locate subordinated software elements in a rooted dependency graph. It identifies the nesting structure for a dependency graph ...
Raimar Falke, Raimund Klein, Rainer Koschke, Joche...
112
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CIKM
2005
Springer
15 years 9 months ago
Localized routing trees for query processing in sensor networks
In this paper, we propose a novel energy-efficient approach, a localized routing tree (LRT) coupled with a route redirection (RR) strategy, to support various types of queries. LR...
Jie Lian, Lei Chen 0002, Kshirasagar Naik, M. Tame...