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ML
2012
ACM
413views Machine Learning» more  ML 2012»
13 years 7 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 5 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
14 years 9 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
14 years 10 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 5 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...