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AAAI
2004
13 years 8 months ago
SCoT: A Spoken Conversational Tutor
We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCo...
Karl Schultz, Brady Clark, Heather Pon-Barry, Eliz...
ACL
2006
13 years 8 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
FORTE
2003
13 years 8 months ago
Correct Passive Testing Algorithms and Complete Fault Coverage
The aim of passive testing is to detect faults in a system while observing the system during normal operation, that is, without forcing the system to specialized inputs explicitly ...
Arun N. Netravali, Krishan K. Sabnani, Ramesh Visw...
ACL
1997
13 years 8 months ago
Approximating Context-Free Grammars with a Finite-State Calculus
Although adequate models of human language for syntactic analysis and semantic interpretation are of at least contextfree complexity, for applications such as speech processing in...
Edmund Grimley-Evans
NIPS
2000
13 years 8 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek