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» Type Inference for COBOL Systems
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ACL
2011
12 years 11 months ago
Jointly Learning to Extract and Compress
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
AAAI
1996
13 years 9 months ago
Closed Terminologies in Description Logics
We introduce a predictive concept recognition methodology for description logics based on a new closed terminology assumption. During knowledge engineering, our system adopts the ...
Robert A. Weida
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
DLOG
2003
13 years 9 months ago
Wine Agent: Semantic Web Testbed Application
The Wine Agent is a demonstration system that uses an underlying domain ontology to provide suitable wines for a given meal. In doing so it serves as a testbed, not only for the l...
Eric I. Hsu, Deborah L. McGuinness
MOBIQUITOUS
2008
IEEE
14 years 2 months ago
A multi-dimensional model enabling autonomic reasoning for context-aware pervasive applications
A fundamental requirement for autonomic computing is to be able to automatically infer how human users react in similar contextual conditions. This paper examines the problem of a...
Nearchos Paspallis, Konstantinos Kakousis, George ...