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README.md
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@@ -83,7 +83,7 @@ parent_norms = model.manifold.dist0(parent_entity_embeddings)
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# use the empirical function for subsumption prediction proposed in the paper
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# `centri_score_weight` and the overall threshold are determined on the validation set
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subsumption_scores = dists + centri_score_weight * (parent_norms - child_norms)
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```
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Training and evaluation scripts are available at [GitHub](https://github.com/KRR-Oxford/HierarchyTransformers).
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# use the empirical function for subsumption prediction proposed in the paper
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# `centri_score_weight` and the overall threshold are determined on the validation set
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subsumption_scores = - (dists + centri_score_weight * (parent_norms - child_norms))
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```
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Training and evaluation scripts are available at [GitHub](https://github.com/KRR-Oxford/HierarchyTransformers).
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