Papers with Re-TACRED
STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction (2022.coling-1)
Copied to clipboard
| Challenge: | Existing approaches for low-resource relation extraction use only confident instances and uncertain instances. |
| Approach: | They propose a self-training approach for low-resource relation extraction using auto-annotated instances. |
| Outcome: | The proposed method improves on two widely used datasets with low-resource settings. |