A Domain-adaptive Pre-training Approach for Language Bias Detection in News

22 May 2022

Papers citing "A Domain-adaptive Pre-training Approach for Language Bias Detection in News"

7 / 7 papers shown

Title
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Tomas Horych Christoph Mandl Terry Ruas André Greiner-Petter Bela Gipp Akiko Aizawa Timo Spinde 96 4 0 17 Nov 2024
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection Martin Wessel Tomávs Horych Terry Ruas Akiko Aizawa Bela Gipp Timo Spinde 24 21 0 25 Apr 2023
CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain Markus Bayer Philip D. . Kuehn Ramin Shanehsaz Christian A. Reuter 13 43 0 06 Dec 2022
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts Timo Spinde Manuel Plank Jan-David Krieger Terry Ruas Bela Gipp Akiko Aizawa 27 67 0 29 Sep 2022
Do You Think It's Biased? How To Ask For The Perception Of Media Bias Timo Spinde Christina Kreuter W. Gaissmaier Felix Hamborg Bela Gipp H. Giese 24 19 0 14 Dec 2021
Multi-Task Learning in Natural Language Processing: An Overview Shijie Chen Yu Zhang Qiang Yang AIMat 41 99 0 19 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018