Relation Classification on TACRED K=8 low-resource original
0.357Micro F1GenPT (RoBERTa)
Evaluation Results
| Method | Links | |
|---|---|---|
| GenPT (RoBERTa)Learning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 0.357 | |
| GenPT (BART)Learning Paradigm=Prompt Tuning, Backbone=BART2022.10 | 0.326 | |
| KnowPromptLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 0.32 | |
| NLILearning Paradigm=Fine-tuning2022.10 | 0.318 | |
| GenPT (T5)Learning Paradigm=Prompt Tuning, Backbone=T52022.10 | 0.318 | |
| TYP MarkerLearning Paradigm=Fine-tuning, Backbone=RoBERTa2022.10 | 0.289 | |
| PTRLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 0.281 | |
| TANLLearning Paradigm=Fine-tuning, Backbone=T52022.10 | 0.181 | |
| GDPNetLearning Paradigm=Fine-tuning2022.10 | 0.118 | |
| LUKELearning Paradigm=Fine-tuning, Backbone=LUKE2022.10 | 0.095 | |
| SpanBERTLearning Paradigm=Fine-tuning, Backbone=SpanBERT2022.10 | 0.084 |