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ACL
2008
13 years 8 months ago
Unsupervised Learning of Narrative Event Chains
Hand-coded scripts were used in the 1970-80s as knowledge backbones that enabled inference and other NLP tasks requiring deep semantic knowledge. We propose unsupervised induction...
Nathanael Chambers, Daniel Jurafsky
ECIS
2003
13 years 8 months ago
Provision of customer knowledge to supply chains
Knowledge about customers is vital for supply chains in order to ensure customer satisfaction. In an ideal supply chain environment, supply chain partners are able to perform plan...
Roland Holten, Alexander Dreiling
SWAT
2004
Springer
123views Algorithms» more  SWAT 2004»
14 years 22 days ago
A Simple Linear-Time Modular Decomposition Algorithm for Graphs, Using Order Extension
The first polynomial time algorithm (O(n4 )) for modular decomposition appeared in 1972 [8] and since then there have been incremental improvements, eventually resulting in linear...
Michel Habib, Fabien de Montgolfier, Christophe Pa...
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 11 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
JAPLL
2006
109views more  JAPLL 2006»
13 years 7 months ago
Deduction chains for common knowledge
Deduction chains represent a syntactic and in a certain sense constructive method for proving completeness of a formal system. Given a formula , the deduction chains of are built...
Mathis Kretz, Thomas Studer