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ACL
2009
13 years 5 months ago
Improving data-driven dependency parsing using large-scale LFG grammars
This paper presents experiments which combine a grammar-driven and a datadriven parser. We show how the conversion of LFG output to dependency representation allows for a techniqu...
Lilja Øvrelid, Jonas Kuhn, Kathrin Spreyer
ICPR
2008
IEEE
14 years 1 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
HAPTICS
2009
IEEE
14 years 2 months ago
Performance improvement with haptic assistance: A quantitative assessment
We measure the performance improvement that force feedback can provide in a virtual environment, through three experiments with, and without the assistance of haptic guidance. Per...
Chris Gunn, Warren Muller, Amitava Datta
NAACL
2007
13 years 9 months ago
Improved Inference for Unlexicalized Parsing
We present several improvements to unlexicalized parsing with hierarchically state-split PCFGs. First, we present a novel coarse-to-fine method in which a grammar’s own hierarc...
Slav Petrov, Dan Klein
PPSN
2004
Springer
14 years 26 days ago
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
Bo Yuan, Marcus Gallagher