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Uncertainty-Aware Bootstrap Learning for Joint Extraction on
  Distantly-Supervised Data

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data

5 May 2023
Yufei Li
Xiao Yu
Yanchi Liu
Haifeng Chen
Cong Liu
    UQCV
    SSL
ArXivPDFHTML

Papers citing "Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data"

3 / 3 papers shown
Title
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of
  Language Models
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models
Yufei Li
Zexin Li
Wei Yang
Cong Liu
24
6
0
12 Sep 2023
Gradient Imitation Reinforcement Learning for Low Resource Relation
  Extraction
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Xuming Hu
Chenwei Zhang
Yawen Yang
Xiaohe Li
Li Lin
Lijie Wen
Philip S. Yu
53
59
0
14 Sep 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1