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COLING
2010
15 years 1 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, ...
JIIS
2000
120views more  JIIS 2000»
15 years 6 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...
SAC
2010
ACM
16 years 1 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
VISSOFT
2005
IEEE
15 years 12 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...
CIKM
2005
Springer
15 years 12 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...