Papers by Lena Zellinger

1 papers
Counterfactual Reasoning with Knowledge Graph Embeddings (2024.eacl-long)

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Challenge: Knowledge graph embeddings were originally developed to infer true but missing facts in incomplete knowledge repositories.
Approach: They propose a task that requires models to reason on a counterfactual KG.
Outcome: The proposed task connects knowledge graph completion and counterfactual reasoning.

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