Papers with CKGC tasks

1 papers
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models (2024.emnlp-main)

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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.

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