Humor Identification on Semantic Scholar corpus (test)
60PrecisionIggy
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Iggyk=50, number of parameters=~33k2021.06 | 60 | — | |
| BERT^fk=50, fine-tuned=true, number of parameters=110M2021.06 | 58 | — | |
| SciBERTk=50, number of parameters=110M2021.06 | 57 | — | |
| SciBERT^fk=50, fine-tuned=true, number of parameters=110M2021.06 | 53 | — | |
| SciBERTk=300, number of parameters=110M2021.06 | 46 | — | |
| BERTk=50, number of parameters=110M2021.06 | 44 | — | |
| BERT^fk=300, fine-tuned=true, number of parameters=110M2021.06 | 43 | — | |
| SciBERT^fk=300, fine-tuned=true, number of parameters=110M2021.06 | 41 | — | |
| BERTk=300, number of parameters=110M2021.06 | 41 | — | |
| Iggyk=300, number of parameters=~33k2021.06 | 37 | — |