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Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction Haoran Luo
Neural Information Processing Systems
Beyond traditional binary relational facts, n-ary relational knowledge graphs (NKGs) are comprised of n-ary relational facts containing more than two entities, which are closer to real-world facts with broader applications.
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Preference-based ReinforcementLearning withFinite-TimeGuarantees
Neural Information Processing Systems
Wefirstshowthataunique optimal policymaynot exist if preferences over trajectories are deterministic for PbRL.
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