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FLAIRS
2008
13 years 10 months ago
Paraphrase Identification with Lexico-Syntactic Graph Subsumption
The paper presents a new approach to the problem of paraphrase identification. The new approach extends a previously proposed method for the task of textual entailment. The relati...
Vasile Rus, Philip M. McCarthy, Mihai C. Lintean, ...
FLAIRS
2008
13 years 10 months ago
A Framework for Merging Qualitative Constraints Networks
Spatial or temporal reasoning is an important task for many applications in Artificial Intelligence, such as space scheduling, navigation of robots, etc. Several qualitative appro...
Jean-François Condotta, Souhila Kaci, Nicol...
FLAIRS
2008
13 years 10 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
FLAIRS
2008
13 years 10 months ago
Combinators Introduction: An Algorithm
Adam Joly, Ismaïl Biskri
FLAIRS
2008
13 years 10 months ago
Longboard: A Sketch Based Intelligent Storyboarding Tool for Creating Machinima
Real-time 3D game environments provide a compelling medium for cinematic storytelling. Professional filmmakers have started using them for pre-visualization. They provide a low-co...
Arnav Jhala, Curtis Rawls, Samuel Munilla, R. Mich...
FLAIRS
2008
13 years 10 months ago
Distributed University Timetabling with Multiply Sectioned Constraint Networks
Although timetabling has long been studied through constraint satisfaction based techniques, along with many alternatives, only recently work has been reported where distributed t...
Yang Xiang, Wanling Zhang
FLAIRS
2008
13 years 10 months ago
Modelling Uniformity and Control during Knowledge Acquisition
We develop a formal system dealing `spatially' with certain aspects of uniformity and control during knowledge acquisition. To this end, we study an appropriate modality, whi...
Bernhard Heinemann
FLAIRS
2008
13 years 10 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
FLAIRS
2008
13 years 10 months ago
Towards Verification of Storyboards
Storyboards are commonly known as rows of pictures, which exemplarily sketch scenes in performing arts. The rows specify the sequence of scenes. The scenes themselves are illustra...
Rainer Knauf, Horst Duesel
FLAIRS
2008
13 years 10 months ago
A Causal Bayesian Network View of Reinforcement Learning
Charles W. Fox, Neil Girdhar, Kevin N. Gurney