Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation

no code implementations • 5 Apr 2024 • Fahmida Alam, Md Asiful Islam, Robert Vacareanu, Mihai Surdeanu

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).

Relation Relation Extraction

Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification

no code implementations • 5 Mar 2024 • Robert Vacareanu, Fahmida Alam, Md Asiful Islam, Haris Riaz, Mihai Surdeanu

Human interventions to the rules for the TACRED relation \texttt{org:parents} boost the performance on that relation by as much as 26\% relative improvement, without negatively impacting the other relations, and without retraining the semantic matching component.

Few-Shot Relation Classification Relation +2