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» Using text to build semantic networks for pharmacogenomics
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WOSP
2005
ACM
14 years 2 months ago
A model transformation framework for the automated building of performance models from UML models
In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software mod...
Andrea D'Ambrogio
AAAI
2007
13 years 11 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
COLING
1990
13 years 10 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
IDA
2006
Springer
13 years 8 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
IJCAI
1989
13 years 10 months ago
A Framework for Network Modeling in Prolog
A new formalism for building network models in Prolog is proposed. It is based on a new semantic interpretation of the Prolog variables and clauses, which are used to represent th...
Z. I. Markov