Papers with template automatic augmentation strategy
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models (2024.emnlp-main)
Copied to clipboard
| Challenge: | Commosense knowledge graphs (CKGC) are powerful representations of real-world commonsense knowledge. |
| Approach: | They propose a framework that uses automatically generated prompt templates combined with pre-trained language models to improve CKGC performance. |
| Outcome: | The proposed framework mitigates the long-tail problem and improves CKGC performance on a large dataset. |