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» A Generative Probabilistic OCR Model for NLP Applications
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ACL
2006
13 years 9 months ago
Integrated Morphological and Syntactic Disambiguation for Modern Hebrew
Current parsing models are not immediately applicable for languages that exhibit strong interaction between morphology and syntax, e.g., Modern Hebrew (MH), Arabic and other Semit...
Reut Tsarfaty
ICLP
2010
Springer
13 years 11 months ago
Tight Semantics for Logic Programs
We define the Tight Semantics (TS), a new semantics for all NLPs complying with the requirements of: 2-valued semantics; preserving the models of SM; guarantee of model existence...
Luís Moniz Pereira, Alexandre Miguel Pinto
ISMAR
2009
IEEE
14 years 2 months ago
Interactive model reconstruction with user guidance
Generating 3D models of real world objects is a common task during development of any augmented reality application. This paper describes how ProFORMA (Probabilistic Feature-based...
Qi Pan, Gerhard Reitmayr, Tom Drummond
CEC
2007
IEEE
14 years 2 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
ATAL
2009
Springer
14 years 2 months ago
Increasing the expressiveness of virtual agents: autonomous generation of speech and gesture for spatial description tasks
Embodied conversational agents are required to be able to express themselves convincingly and autonomously. Based on an empirial study on spatial descriptions of landmarks in dire...
Kirsten Bergmann, Stefan Kopp