Papers by Jason Youn
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction (2023.starsem-1)
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| Challenge: | Knowledge graphs are incomplete in the information they represent, necessitating knowledge graph completion tasks. |
| Approach: | They propose a new entity/relation embedding layer that learns to differentiate distinctive entity and relation types, thus allowing the model to learn the structure of the knowledge graph. |
| Outcome: | The proposed language model learns to differentiate distinct entity and relation types, thus learning the structure of the knowledge graph. |