Papers with unsupervised ensemble

1 papers
Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph (2020.coling-main)

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Challenge: Misinformation spreads across media, community, and knowledge graphs in the Web by human agents and information extraction algorithms.
Approach: They propose a rule-based approach that finds positive and negative evidential paths in a knowledge graph for a given factual statement and calculates a truth score for the given statement by unsupervised ensemble.
Outcome: The proposed approach outperforms the state-of-the-art unsupervised approaches by up to 0.12 AUC-ROC and even outperfies the supervised approach by up 0.05 AUC.

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