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Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Wide-Coverage Statistical Parsing CCG Log-Linear Models
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2015/9/2
This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are “full” parsing models in the sense that probabilities are defined for co...
Log-Linear Models for Label Ranking
Log-Linear Models Label Ranking
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2015/6/12
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking functions from supervis...
Simultaneous Estimation of the Means in Some Poisson Log Linear Models
Bayes estimation decomposable Poisson model multiplicative Poisson model shrinkage estimation unbiased estimation of risk difference
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2009/3/6
In this article we study the simultaneous estimation of the Poisson means in J-way multiplicative models and a decomposable model for three-way layouts. The estimators which improve on the maximum lik...
ON THE CONNECTION BETWEEN THE DISTRIBUTION OF EIGENVALUES IN MULTIPLE CORRESPONDENCE ANALYSIS AND LOG-LINEAR MODELS
Multiple Correspondence Analysis eigenvalues log-linear models graphical models normal distribution
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2009/2/26
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having di®erent approaches and ¯elds of applications. Log-linear mod...