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FewRel

Few-Shot Relation Classification Dataset

Introduced in FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation2017

About this Dataset

The FewRel (Few-Shot Relation Classification Dataset) contains 100 relations and 70,000 instances from Wikipedia. The dataset is divided into three subsets: training set (64 relations), validation set (16 relations) and test set (20 relations).

Source: Neural Snowball for Few-Shot Relation Learning Image Source: https://www.aclweb.org/anthology/D18-1514.pdf

Source: FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Dataset Variants

FewRel

Papers1

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Empirical results show that even the most competitive few- shot learning models struggle on this task, especially as compared with humans, and indicate that few-shot relation classification remains an open problem and still requires further research.

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Tasks

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Relation Extraction Relation Classification Few-Shot Relation Classification Zero-shot Relation Triplet Extraction Zero-shot Relation Classification

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