Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels

14 October 2019

Papers citing "Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels"

6 / 6 papers shown

Title
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification D. Zhu Michael A. Hedderich Fangzhou Zhai David Ifeoluwa Adelani Dietrich Klakow NoLa 35 32 0 20 Apr 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision Anastasiia Sedova Benjamin Roth 25 0 0 14 Apr 2022
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 31 19 0 24 Jan 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 221 287 0 23 Oct 2020
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages Michael A. Hedderich David Ifeoluwa Adelani D. Zhu Jesujoba Oluwadara Alabi Udia Markus Dietrich Klakow 17 72 0 07 Oct 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 14 11 0 18 Mar 2020