Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1421
Title: Learning Probabilistic Rules for Answering Why-Questions
Authors: Salam, Abdus
Schwitter, Rolf
Orgun, Mehmet A.
Keywords: why-questions
explainability
probabilistic logic programming
probabilistic rule learning
Issue Date: Dec-2019
Abstract: Why-questions try to get to the bottom of the matter and ask for explanations. In this paper, we show how we can learn the complete structure of probabilistic rules for a question-answering system from example interpretations. These rules are then used by a meta-interpreter to find answers in the form of explanations for why-questions for a particular application domain.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/1421
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