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

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

22 May 2022
Jan-David Krieger
Timo Spinde
Terry Ruas
Juhi Kulshrestha
Bela Gipp
    AI4CE
ArXivPDFHTML

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

5 / 5 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
91
3
0
17 Nov 2024
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias
  Annotations By Experts
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
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
16
18
0
14 Dec 2021
Multi-Task Learning in Natural Language Processing: An Overview
Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen
Yu Zhang
Qiang Yang
AIMat
39
98
0
19 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
294
6,927
0
20 Apr 2018
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