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PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 8 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
NAACL
2001
13 years 11 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
RR
2010
Springer
13 years 8 months ago
Usability of a Visual Language for DL Concept Descriptions
The development and use of ontologies may require users with no training in formal logic to handle complex concept descriptions. To aid such users, we propose a new visualization f...
Fernando Náufel do Amaral
ACL
1998
13 years 11 months ago
Learning Constraint Grammar-style Disambiguation Rules using Inductive Logic Programming
This paper reports a pilot study, in which Constraint Grammar inspiredruleswere learnt using the Progol machine-learning system. Rules discarding faulty readings of ambiguously ta...
Nikolaj Lindberg, Martin Eineborg
ICLP
2004
Springer
14 years 3 months ago
Termination of Logic Programs Using Various Dynamic Selection Rules
Abstract. We study termination of logic programs with dynamic scheduling, as it can be realised using delay declarations. Following previous work, our minimum assumption is that de...
Jan-Georg Smaus