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» How Much Can We Gain from Supervised Word Alignment
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KCAP
2011
ACM
13 years 1 months ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...
CN
2010
91views more  CN 2010»
13 years 8 months ago
ILP formulations for non-simple p-cycle and p-trail design in WDM mesh networks
Conventional simple p-cycle (Preconfigured Protection Cycle) concept allows fast and capacity-efficient span protection in WDM mesh networks. Unlike simple p-cycle, non-simple p-cy...
Bin Wu, Kwan L. Yeung, Pin-Han Ho
MP
2006
110views more  MP 2006»
13 years 10 months ago
Decomposition and Dynamic Cut Generation in Integer Linear Programming
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-known methods that can be used to generate bounds for mixed-integer linear programmi...
Ted K. Ralphs, Matthew V. Galati
DAGM
2011
Springer
12 years 10 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
CORR
2000
Springer
104views Education» more  CORR 2000»
13 years 10 months ago
ATLAS: A flexible and extensible architecture for linguistic annotation
We describe a formal model for annotating linguistic artifacts, from which we derive an application programming interface (API) to a tools for manipulating these annotations. The ...
Steven Bird, David Day, John S. Garofolo, John Hen...