Analysing the Noise Model Error for Realistic Noisy Label Data

24 January 2021

Papers citing "Analysing the Noise Model Error for Realistic Noisy Label Data"

4 / 4 papers shown

Title
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing Tingting Wu Xiao Ding Minji Tang Haotian Zhang Bing Qin Ting Liu NoLa 31 9 0 18 May 2023
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future Jan-Christoph Klie Bonnie Webber Iryna Gurevych 40 43 0 05 Jun 2022
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 22 110 0 23 Sep 2021
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