Papers by Ofer Sabo
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes (2021.tacl-1)
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| Challenge: | a recent study has focused on few-shot learning (FSL) for relation classification, but it requires large amounts of training data. |
| Approach: | They propose a method for deriving more realistic few-shot test data from available datasets for supervised RC. |
| Outcome: | The proposed method yields a challenging benchmark for FSL-RC on which state of the art models show poor performance. |