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E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition

29 May 2023
Zhen Zhang
Mengting Hu
Shiwan Zhao
Minlie Huang
Haotian Wang
Lemao Liu
Zhirui Zhang
Zhe Liu
Bingzhe Wu
    EDL
ArXivPDFHTML

Papers citing "E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition"

8 / 8 papers shown
Title
Revisiting Essential and Nonessential Settings of Evidential Deep
  Learning
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
36
1
0
01 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
37
5
0
07 Sep 2024
Falcon 7b for Software Mention Detection in Scholarly Documents
Falcon 7b for Software Mention Detection in Scholarly Documents
AmeerAli Khan
Qusai Ramadan
Cong Yang
Zeyd Boukhers
19
0
0
14 May 2024
Glitch Tokens in Large Language Models: Categorization Taxonomy and
  Effective Detection
Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection
Yuxi Li
Yi Liu
Gelei Deng
Ying Zhang
Wenjia Song
Ling Shi
Kailong Wang
Yuekang Li
Yang Liu
Haoyu Wang
45
20
0
15 Apr 2024
Comprehensive Overview of Named Entity Recognition: Models,
  Domain-Specific Applications and Challenges
Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges
Kalyani Pakhale
15
20
0
25 Sep 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and
  Applications
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Minlie Huang
Bingzhe Wu
BDL
12
34
0
05 Jun 2023
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text Classification
Yibo Hu
Latifur Khan
EDL
UQCV
25
33
0
15 Jul 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
247
9,109
0
06 Jun 2015
1