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COLING
2008
14 years 11 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He
CI
2005
99views more  CI 2005»
14 years 9 months ago
Automatically Generating Tree Adjoining Grammars from Abstract Specifications
TRACT SPECIFICATIONS FEI XIA AND MARTHA PALMER Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104 K. VIJAY-SHANKER Department of Com...
Fei Xia, Martha Palmer, K. Vijay-Shanker
DAC
2011
ACM
13 years 9 months ago
Extracting behavior and dynamically generated hierarchy from SystemC models
SystemC is a popular modeling language which can be used to specify systems at bstraction level. Currently, SystemC tools can not cope with SystemC models for which the module hie...
Harry Broeders, René van Leuken
JIPS
2008
116views more  JIPS 2008»
14 years 9 months ago
An Empirical Study of Qualities of Association Rules from a Statistical View Point
: Minimum support and confidence have been used as criteria for generating association rules in all association rule mining algorithms. These criteria have their natural appeals, s...
Maryann Dorn, Wen-Chi Hou, Dunren Che, Zhewei Jian...
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 3 months ago
Search-based mutation testing for Simulink models
The efficient and effective generation of test-data from high-level models is of crucial importance in advanced modern software engineering. Empirical studies have shown that muta...
Yuan Zhan, John A. Clark