Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
Prachi Jain, Sushant Rathi, Mausam Mausam, Soumen Chakrabarti
Abstract
Research on temporal knowledge bases, which associate a relational fact (s, r, o) with a validity time period (or time instant), is in its early days. Our work considers predicting missing entities (link prediction) and missing time intervals (time prediction) as joint Temporal Knowledge Base Completion (TKBC) tasks, and presents TIMEPLEX, a novel TKBC method, in which entities, relations and, time are all embedded in a uniform, compatible space. TIMEPLEX exploits the recurrent nature of some facts/events and temporal interactions between pairs of relations, yielding stateof-the-art results on both prediction tasks.
Topics & Concepts
Computer scienceImperfectExploitKnowledge baseTask (project management)Base (topology)Missing dataArtificial intelligenceData miningMachine learningAlgorithmTheoretical computer scienceMathematicsPhilosophyMathematical analysisManagementEconomicsLinguisticsComputer securityBayesian Modeling and Causal InferenceTopic ModelingAdvanced Graph Neural Networks