NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition

13 May 2024

Papers citing "NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition"

6 / 6 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 52 1 0 14 Sep 2024
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 36 112 0 23 Sep 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 25 65 0 17 Apr 2021
FLERT: Document-Level Features for Named Entity Recognition Stefan Schweter Alan Akbik 37 111 0 13 Nov 2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach Yue Yu Simiao Zuo Haoming Jiang Wendi Ren T. Zhao Chao Zhang AI4MH 23 133 0 15 Oct 2020
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 95 1,419 0 24 Mar 2018