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ESOP
2007
Springer
14 years 1 months ago
A Rewriting Semantics for Type Inference
When students first learn programming, they often rely on a simple operational model of a program’s behavior to explain how particular features work. Because such models build o...
George Kuan, David MacQueen, Robert Bruce Findler
ACL
2007
13 years 9 months ago
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
Smaranda Muresan, Owen Rambow
EMNLP
2009
13 years 5 months ago
Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
Koen Deschacht, Marie-Francine Moens
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
ENTCS
2007
96views more  ENTCS 2007»
13 years 7 months ago
Deduction, Strategies, and Rewriting
Automated deduction methods should be specified not procedurally, but declaratively, as inference systems which are proved correct regardless of implementation details. Then, di...
Steven Eker, Narciso Martí-Oliet, Jos&eacut...