FewRel 2.0

Introduced in FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

About this Dataset

A more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of instances? (2) Can they detect none-of-the-above (NOTA) relations?

Source: FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

Dataset Variants

FewRel 2.0

Papers1

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

It is found that the state-of-the-art few-shot relation classification models struggle on these two aspects, and that the commonly-used techniques for domain adaptation and NOTA detection still cannot handle the two challenges well.

Dataset Loaders

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thunlp/fewrel

pytorch

Tasks

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Relation Extraction Relation Classification Few-Shot Relation Classification

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