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Md Asiful Islam

2 accepted papers

2024

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

NAACL 2024findings

This paper introduces a novel neuro-symbolic architecture for relation classification (RC) that combines rule-based methods with contemporary deep learning techniques. This approach capitalizes on the strengths of both paradigms: the adaptability of rule-based systems and the generalization power of…

Cited by 4SourcePDFScholar
2024

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

COLING 2024main

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 WIKI- DATA (Sorokin and Gurevych, 2017) – as well as a few-shot form of the TACRED dataset (…