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» Unsupervised Natural Language Processing Using Graph Models
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MODELS
2007
Springer
14 years 4 months ago
Rigorously Defining and Analyzing Medical Processes: An Experience Report
Abstract. This paper describes our experiences in defining the processes associated with preparing and administrating chemotherapy and then using those process definitions as the b...
Stefan Christov, Bin Chen, George S. Avrunin, Lori...
MODELS
2009
Springer
14 years 5 months ago
Weaving Variability into Domain Metamodels
A Domain-Specific Modeling Language (DSMLs) describes the concepts and their relationships of a particular domain, in a metamodel. Using a DSML, it is possible to describe a wide ...
Brice Morin, Gilles Perrouin, Philippe Lahire, Oli...
UML
2005
Springer
14 years 3 months ago
Extending the Boundaries of Model-Based Development to Account for Errors
This paper presents an approach for relating informed task models and system models in the domain of safety critical interactive systems. The models, which are usually developed f...
Sandra Basnyat, Rémi Bastide, Philippe A. P...
NLPRS
2001
Springer
14 years 2 months ago
A Probabilistic Model for Japanese Zero Pronoun Resolution Integrating Syntactic and Semantic Features
This paper proposes a method to resolve Japanese zero pronouns by identifying their antecedents. Our method uses a probabilistic model, which is decomposed into syntactic and sema...
Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa
ICGI
1994
Springer
14 years 2 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro