Revised-TACRED
The Re-TACRED dataset is a significantly improved version of the TACRED dataset for relation extraction. Using new crowd-sourced labels, Re-TACRED prunes poorly annotated sentences and addresses TACRED relation definition ambiguity, ultimately correcting 23.9% of TACRED labels. This dataset contains over 91 thousand sentences spread across 40 relations. Dataset presented at AAAI 2021.
Paper (arXiv): https://arxiv.org/abs/2104.08398
Variants: Re-TACRED
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 | GenPT (RoBERTa) | Generative Prompt Tuning for Relation … | 2022-10-22 |
| Relation Extraction | EXOBRAIN | Improving Sentence-Level Relation Extraction through … | 2021-07-20 |
| Relation Extraction | RoBERTa-large-typed-marker | An Improved Baseline for Sentence-level … | 2021-02-02 |
| Relation Extraction | SpanBERT | SpanBERT: Improving Pre-training by Representing … | 2019-07-24 |
| Relation Extraction | C-GCN | Graph Convolution over Pruned Dependency … | 2018-09-26 |
Recent papers with results on this dataset: