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ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 1 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
FOSSACS
2004
Springer
15 years 11 months ago
Duality for Labelled Markov Processes
Labelled Markov processes (LMPs) are automata whose transitions are given by probability distributions. In this paper we present a ‘universal’ LMP as the spectrum of a commutat...
Michael W. Mislove, Joël Ouaknine, Dusko Pavl...
ACL
2009
15 years 4 months ago
Brutus: A Semantic Role Labeling System Incorporating CCG, CFG, and Dependency Features
We describe a semantic role labeling system that makes primary use of CCG-based features. Most previously developed systems are CFG-based and make extensive use of a treepath feat...
Stephen A. Boxwell, Dennis Mehay, Chris Brew
ACL
2010
15 years 4 months ago
Detecting Errors in Automatically-Parsed Dependency Relations
We outline different methods to detect errors in automatically-parsed dependency corpora, by comparing so-called dependency rules to their representation in the training data and ...
Markus Dickinson
MICAI
2004
Springer
15 years 11 months ago
Automatic Enrichment of Very Large Dictionary of Word Combinations on the Basis of Dependency Formalism
The paper presents a method of automatic enrichment of a very large dictionary of word combinations. The method is based on results of automatic syntactic analysis (parsing) of sen...
Alexander F. Gelbukh, Grigori Sidorov, Sang-Yong H...