Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction

18 May 2023

Papers citing "Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction"

6 / 6 papers shown

Title
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision Xiangyu Lin Weijia Jia Zhiguo Gong 28 0 0 01 Jul 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels Zixia Jia Junpeng Li Shichuan Zhang Anji Liu Zilong Zheng 40 2 0 24 Jun 2024
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations Shiao Meng Xuming Hu Aiwei Liu Fukun Ma Yawen Yang Shuang Li Lijie Wen 44 0 0 11 Jun 2024
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction Shiao Meng Xuming Hu Aiwei Liu Shuang Li Fukun Ma Yawen Yang Lijie Wen 35 7 0 24 Oct 2023
Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction Qingyu Tan Lu Xu Lidong Bing Hwee Tou Ng Sharifah Mahani Aljunied 44 64 0 25 May 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015