Relation Classification on Re-TACRED K=32 (low-resource)
65.2Micro F1GenPT (RoBERTa)
Evaluation Results
| Method | Links | |
|---|---|---|
| GenPT (RoBERTa)Learning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 65.2 | |
| KnowPromptLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 65 | |
| GenPT (BART)Learning Paradigm=Prompt Tuning, Backbone=BART2022.10 | 63.9 | |
| GenPT (T5)Learning Paradigm=Prompt Tuning, Backbone=T52022.10 | 62.5 | |
| PTRLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 62.1 | |
| TYP MarkerLearning Paradigm=Fine-tuning, Backbone=RoBERTa2022.10 | 60 | |
| TANLLearning Paradigm=Fine-tuning, Backbone=T52022.10 | 59.2 | |
| GDPNetLearning Paradigm=Fine-tuning2022.10 | 54.8 | |
| LUKELearning Paradigm=Fine-tuning, Backbone=LUKE2022.10 | 52.3 | |
| SpanBERTLearning Paradigm=Fine-tuning, Backbone=SpanBERT2022.10 | 43.9 |