Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs

9 Jan 2020Marcel HildebrandtJorge Andres Quintero SernaYunpu MaMartin RingsquandlMitchell JoblinVolker Tresp

We propose a novel method for fact-checking on knowledge graphs based on debate dynamics. The underlying idea is to frame the task of triple classification as a debate game between two reinforcement learning agents which extract arguments -- paths in the knowledge graph -- with the goal to justify the fact being true (thesis) or the fact being false (antithesis), respectively... (read more)

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