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Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in
  Text Classification

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

20 April 2022
D. Zhu
Michael A. Hedderich
Fangzhou Zhai
David Ifeoluwa Adelani
Dietrich Klakow
    NoLa
ArXivPDFHTML

Papers citing "Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification"

14 / 14 papers shown
Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Bo Yuan
Yulin Chen
Yin Zhang
Wei Jiang
NoLa
34
6
0
03 Apr 2025
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in
  Text Classification
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification
Hongfei Huang
Tingting Liang
Xixi Sun
Zikang Jin
Yuyu Yin
NoLa
39
1
0
09 Jul 2024
On the Noise Robustness of In-Context Learning for Text Generation
On the Noise Robustness of In-Context Learning for Text Generation
Hongfu Gao
Feipeng Zhang
Wenyu Jiang
Jun Shu
Feng Zheng
Hongxin Wei
58
3
0
27 May 2024
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity
  Recognition
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
Elena Merdjanovska
Ansar Aynetdinov
Alan Akbik
NoLa
29
1
0
13 May 2024
Exploring the Robustness of In-Context Learning with Noisy Labels
Exploring the Robustness of In-Context Learning with Noisy Labels
Chen Cheng
Xinzhi Yu
Haodong Wen
Jinsong Sun
Guanzhang Yue
Yihao Zhang
Zeming Wei
NoLa
24
6
0
28 Apr 2024
Noise-Robust Fine-Tuning of Pretrained Language Models via External
  Guidance
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
Song Wang
Zhen Tan
Ruocheng Guo
Wenlin Yao
NoLa
25
20
0
02 Nov 2023
AQuA: A Benchmarking Tool for Label Quality Assessment
AQuA: A Benchmarking Tool for Label Quality Assessment
Mononito Goswami
Vedant Sanil
Arjun Choudhry
Arvind Srinivasan
Chalisa Udompanyawit
Artur Dubrawski
25
9
0
15 Jun 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
D. Zhu
Xiaoyu Shen
Marius Mosbach
Andreas Stephan
Dietrich Klakow
NoLa
31
9
0
27 May 2023
Handling Realistic Label Noise in BERT Text Classification
Handling Realistic Label Noise in BERT Text Classification
M. Agro
Hanan Aldarmaki
NoLa
19
3
0
23 May 2023
Rumour detection using graph neural network and oversampling in
  benchmark Twitter dataset
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset
Shaswat Patel
Prince Bansal
Preeti Kaur
23
2
0
20 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
Jihye Kim
A. Baratin
Yan Zhang
Simon Lacoste-Julien
NoLa
18
7
0
03 Dec 2022
Detecting Label Errors by using Pre-Trained Language Models
Detecting Label Errors by using Pre-Trained Language Models
Derek Chong
Jenny Hong
Christopher D. Manning
NoLa
38
21
0
25 May 2022
Meta Self-Refinement for Robust Learning with Weak Supervision
Meta Self-Refinement for Robust Learning with Weak Supervision
D. Zhu
Xiaoyu Shen
Michael A. Hedderich
Dietrich Klakow
NoLa
24
7
0
15 May 2022
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
199
286
0
23 Oct 2020
1