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Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation
April 9, 2024, 4:50 a.m. | Fahmida Alam, Md Asiful Islam, Robert Vacareanu, Mihai Surdeanu
cs.CL updates on arXiv.org arxiv.org
Abstract: We introduce a meta dataset for few-shot relation extraction, which includes two datasets derived from existing supervised relation extraction datasets NYT29 (Takanobu et al., 2019; Nayak and Ng, 2020) and WIKIDATA (Sorokin and Gurevych, 2017) as well as a few-shot form of the TACRED dataset (Sabo et al., 2021). Importantly, all these few-shot datasets were generated under realistic assumptions such as: the test relations are different from any relations a model might have seen before, …
abstract arxiv cs.cl cs.ir dataset datasets evaluation extraction few-shot form meta type
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