Knowing false negatives: An adversarial training method for distantly supervised relation extraction

K Hao, B Yu, W Hu - arXiv preprint arXiv:2109.02099, 2021 - arxiv.org
Distantly supervised relation extraction (RE) automatically aligns unstructured text with
relation instances in a knowledge base (KB). Due to the incompleteness of current KBs …

Competition or cooperation? exploring unlabeled data via challenging minimax game for semi-supervised relation extraction

Y Hong, J Li, J Feng, C Huang, Z Li, J Qu… - Proceedings of the …, 2023 - ojs.aaai.org
Abstract Semi-Supervised Relation Extraction aims at learning well-performed RE models
with limited labeled and large-scale unlabeled data. Existing methods mainly suffer from …

Noise-Tolerant Supervised Relation Extraction

H Xinbang, Y Hongtao, L Shaomei… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
Existing supervised relation extraction methods share generate flaws that they have
improvable feature extractors and are uncapable of eliminating task-irrelevant words. To …