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» Controlled Natural Languages for Knowledge Representation
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AI
2008
Springer
13 years 6 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
COLING
1990
13 years 9 months ago
Solving Ambiguities In The Semantic Representation Of Texts
One of the issues of Artificial Intelligence is the transfer of the knowledge conveyed by Natural Language into formalisms that a computer can interpret. In the Natural Language P...
Marie-Claude Landau
FLAIRS
2006
13 years 9 months ago
Verbalization Enhanced Tutoring
Intelligent Tutoring Systems (ITS) typically contain elements of instruction, assessment, feedback and guidance for the trainee. Most of the time, the ITS is controlling the dialo...
Christel Kemke, Shamima Mithun
ATAL
2009
Springer
14 years 2 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
FLAIRS
2006
13 years 9 months ago
LARC: Learning to Assign Knowledge Roles to Textual Cases
In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben