Explainable Fact Checking by Combining Automated Rule Discovery with Probabilistic Answer Set Programming

Explainable Fact Checking by Combining Automated Rule Discovery with Probabilistic Answer Set Programming

abstract: The goal of fact checking is to determine if a given claim holds. A promising ap- proach for this task is to exploit reference information in the form of knowledge graphs (KGs), a structured and formal representation of knowledge with semantic descriptions of entities and relations. KGs ar...

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Bibliographic Details
Other Authors: Pradhan, Anish (Author)
Format: Dissertation
Language:English
Published: 2018
Subjects:
Computer science
Fact Checking
Knowledge Graph
LPMLN
Probabilistic Reasoning
RUDIK
Rule Learning
Online Access:http://hdl.handle.net/2286/R.I.50443

Internet

http://hdl.handle.net/2286/R.I.50443

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