论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
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Updated
Dec 8, 2022 - Jupyter Notebook
论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
Few-Shot Relation Extraction with AllenNLP
A relation extractor trained on FewRel 1.0
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. NAACL 2024.
This project investigates few-shot learning for relation extraction using the FewRel dataset. We will compare Prototypical Networks, MAML, and k-NNs in different few-shot settings to see which performs best with minimal data. The goal is to improve relation extraction in NLP by effectively handling data scarcity.
Official implementation of the paper: Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction
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