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ACL
2012
13 years 15 days ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ā€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
MKM
2004
Springer
15 years 3 months ago
Flexible Encoding of Mathematics on the Computer
This paper reports on refinements and extensions to the MathLang framework that add substantial support for natural language text. We show how the extended framework supports mult...
Fairouz Kamareddine, Manuel Maarek, J. B. Wells
93
Voted
FUIN
2008
108views more  FUIN 2008»
14 years 8 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
EMSOFT
2009
Springer
15 years 2 months ago
Modular static scheduling of synchronous data-flow networks: an efficient symbolic representation
This paper addresses the question of producing modular sequential imperative code from synchronous data-flow networks. Precisely, given a system with several input and output flow...
Marc Pouzet, Pascal Raymond
93
Voted
COMSWARE
2007
IEEE
15 years 4 months ago
Situation-Aware Software Engineering for Sensor Networks
—Sensor networks represent a new frontier in technology that holds the promise of unprecedented levels of autonomy in the execution of complex dynamic missions by harnessing the ...
Vir V. Phoha, Shashi Phoha