Sep 27, 2020 · We propose a simple and effective method that inductively represents OOKG entities by their optimal estimation under translational assumptions.
We propose a simple and effective method that inductively represents OOKG entities by their optimal estimation under translational assumptions.
This work proposes a simple and effective method that inductively represents OOKG entities by their optimal estimation under translational assumptions and ...
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. January 2021. DOI:10.18653/v1/2021.repl4nlp ...
Code and data for the paper: Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions ...
Sep 27, 2020 · To enhance efficiency, we propose a simple and effective method that inductively represents OOKG entities by their optimal estimation under ...
May 9, 2024 · Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. Damai Dai, Hua Zheng, Fuli ...
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. Hunter-DDM/InvTransE-and-InvRotatE • • ACL ...
To enhance efficiency, we propose a simple and effective method that inductively represents OOKG entities by their optimal estimation under translational ...
Oct 21, 2023 · Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. In Proceedings of the 6th ...