The TACRED-Revisited dataset improves the crowd-sourced TACRED dataset for relation extraction by relabeling the dev and test sets using expert linguistic annotators. Relabeling focuses on the 5K most challenging instances in dev and test, in total, 51.2% of these are corrected. Published at ACL 2020.
Paper (arXiv): https://arxiv.org/abs/2004.14855
Variants: TACRED-Revisited
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Relation Extraction | RAG4RE | Retrieval-Augmented Generation-based Relation Extraction | 2024-04-20 |
| Relation Extraction | LLM-QA4RE (XXLarge) | Aligning Instruction Tasks Unlocks Large … | 2023-05-18 |
| Relation Extraction | KLG | Reviewing Labels: Label Graph Network … | 2022-12-29 |
Recent papers with results on this dataset: