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97
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KR
2000
Springer
15 years 4 months ago
Approximate Objects and Approximate Theories
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
John McCarthy
MICAI
2004
Springer
15 years 6 months ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
SOFSEM
1999
Springer
15 years 5 months ago
Coherent Concepts, Robust Learning
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...
Dan Roth, Dmitry Zelenko
80
Voted
COLING
2000
15 years 2 months ago
Local context templates for Chinese constituent boundary prediction
: In this paper, we proposed a shallow syntactic knowledge description: constituent boundary representation and its simple and efficient prediction algorithm, based on different lo...
Qiang Zhou
105
Voted
WWW
2005
ACM
16 years 1 months ago
Ontology-based learning content repurposing
This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, t...
Katrien Verbert, Dragan Gasevic, Jelena Jovanovic,...