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DC Field | Value | Language |
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dc.contributor.author | Salam, Abdus | - |
dc.contributor.author | Schwitter, Rolf | - |
dc.contributor.author | Orgun, Mehmet A. | - |
dc.date.accessioned | 2023-10-09T06:40:58Z | - |
dc.date.available | 2023-10-09T06:40:58Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.uri | http://dspace.aiub.edu:8080/jspui/handle/123456789/1421 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.subject | why-questions | en_US |
dc.subject | explainability | en_US |
dc.subject | probabilistic logic programming | en_US |
dc.subject | probabilistic rule learning | en_US |
dc.title | Learning Probabilistic Rules for Answering Why-Questions | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications: Conference |
Files in This Item:
File | Description | Size | Format | |
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Learning Probabilistic Rules for Answering Why-Questions (DSpace).docx | 4.66 MB | Microsoft Word XML | View/Open |
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