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Uncertainty-Aware Label Refinement for Sequence Labeling

Uncertainty-Aware Label Refinement for Sequence Labeling

19 December 2020
Tao Gui
Jiacheng Ye
Qi Zhang
Zhengyan Li
Zichu Fei
Yeyun Gong
Xuanjing Huang
    BDL
ArXivPDFHTML

Papers citing "Uncertainty-Aware Label Refinement for Sequence Labeling"

4 / 4 papers shown
Title
NCRF++: An Open-source Neural Sequence Labeling Toolkit
NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang
Yue Zhang
50
188
0
14 Jun 2018
Design Challenges and Misconceptions in Neural Sequence Labeling
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang
Shuailong Liang
Yue Zhang
112
161
0
12 Jun 2018
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
741
0
06 Jun 2015
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
245
9,042
0
06 Jun 2015
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