Relation Extraction on TACRED v1.0 (10% train)
70.7Micro F1SURE-PEGASUS-large
Evaluation Results
| Method | Links | |
|---|---|---|
| SURE-PEGASUS-largeMethod paradigm=Summarization-based, Backbone architecture=PEGASUS-large2022.05 | 70.7 | |
| SURE-BART-large-cnnMethod paradigm=Summarization-based, Backbone architecture=BART-large-cnn2022.05 | 68.7 | |
| SURE-BART-large-xsumMethod paradigm=Summarization-based, Backbone architecture=BART-large-xsum2022.05 | 68 | |
| NLI-DeBERTaMethod paradigm=Indirect Supervision, Backbone architecture=DeBERTa2022.05 | 67.9 | |
| SURE-BART-largeMethod paradigm=Summarization-based, Backbone architecture=BART-large2022.05 | 67.9 | |
| NLI-RoBERTaMethod paradigm=Indirect Supervision, Backbone architecture=RoBERTa2022.05 | 67.8 | |
| IRE-RoBERTa-largeMethod paradigm=Classification-based, Backbone architecture=RoBERTa-large, Implementation=Re-implemented2022.05 | 67 | |
| KnowPromptMethod paradigm=Indirect Supervision, Implementation=Re-implemented2022.05 | 65.2 | |
| LUKEMethod paradigm=Classification-based, Implementation=Re-implemented2022.05 | 60.6 | |
| K-AdapterMethod paradigm=Classification-based, Implementation=Re-implemented2022.05 | 56 | |
| RoBERTaMethod paradigm=Classification-based, Implementation=Re-implemented2022.05 | 55.1 | |
| RECENTMethod paradigm=Classification-based, Implementation=Re-implemented2022.05 | 54.2 | |
| SpanBERTMethod paradigm=Classification-based, Implementation=Re-implemented2022.05 | 1.6 |