Papers by Yonghui Kong
Bilateral Masking with prompt for Knowledge Graph Completion (2024.findings-naacl)
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| Challenge: | Existing word matching methods fail to obtain satisfactory single embedding representations for entities. |
| Approach: | They propose a bi-encoder-based approach to enhance entity representations by using prompts to narrow the distance between the predicted entity and the known entity. |
| Outcome: | The proposed model achieves state-of-the-art performance on the WN18RR dataset. |