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ACL
2003
15 years 7 months ago
Unsupervised Learning of Dependency Structure for Language Modeling
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
Jianfeng Gao, Hisami Suzuki
EJC
2000
15 years 7 months ago
KB-VISION: A Tool for Graphical Manipulation and Visualization of Domain Models
Even if a problem solving method and a domain ontology has been identified, there still remains the problem of adding sufficient and consistent domain knowledge to a knowledge proc...
Thorsten Liebig, Dieter Finkenzeller, Marko Luther
CSDA
2007
108views more  CSDA 2007»
15 years 6 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
ACL
2011
14 years 10 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev
ACL
2012
13 years 8 months ago
Fine Granular Aspect Analysis using Latent Structural Models
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
Lei Fang, Minlie Huang