ActiveAED: A Human in the Loop Improves Annotation Error Detection

31 May 2023

Papers citing "ActiveAED: A Human in the Loop Improves Annotation Error Detection"

8 / 8 papers shown

Title
Have LLMs Made Active Learning Obsolete? Surveying the NLP Community Julia Romberg Christopher Schröder Julius Gonsior Katrin Tomanek Fredrik Olsson 67 0 0 12 Mar 2025
Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology Federico Ruggeri Eleonora Misino Arianna Muti Katerina Korre Paolo Torroni Alberto Barrón-Cedeño 39 0 0 20 Jun 2024
VariErr NLI: Separating Annotation Error from Human Label Variation Leon Weber-Genzel Siyao Peng M. Marneffe Barbara Plank 35 8 0 04 Mar 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? Joris Baan Raquel Fernández Barbara Plank Wilker Aziz 51 10 0 25 Feb 2024
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations Siyao Peng Zihang Sun Sebastian Loftus Barbara Plank 22 3 0 02 Feb 2024
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets? Leon Weber-Genzel Robert Litschko Ekaterina Artemova Barbara Plank 21 2 0 04 Sep 2023
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 42 27 0 20 Sep 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 38 21 0 25 May 2022