Annotator-Centric Active Learning for Subjective NLP Tasks

24 April 2024

Papers citing "Annotator-Centric Active Learning for Subjective NLP Tasks"

8 / 8 papers shown

Title
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks? Urja Khurana Eric T. Nalisnick Antske Fokkens Swabha Swayamdipta 85 3 0 26 Aug 2024
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems Enrico Liscio Luciano Cavalcante Siebert Catholijn M. Jonker P. Murukannaiah 53 4 0 26 Feb 2024
An Empirical Analysis of Diversity in Argument Summarization Michiel van der Meer Piek T. J. M. Vossen Catholijn M. Jonker P. Murukannaiah 23 7 0 02 Feb 2024
Fine-tuning language models to find agreement among humans with diverse preferences Michiel A. Bakker Martin Chadwick Hannah R. Sheahan Michael Henry Tessler Lucy Campbell-Gillingham ... Nat McAleese Amelia Glaese John Aslanides M. Botvinick Christopher Summerfield ALM 71 219 0 28 Nov 2022
Stop Measuring Calibration When Humans Disagree Joris Baan Wilker Aziz Barbara Plank Raquel Fernández 42 53 0 28 Oct 2022
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 68 1,129 0 30 Aug 2020
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 44 1,838 0 23 Sep 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 117 1,931 0 06 Jun 2019