NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias

NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias

11 April 2022

Andrea Madotto

Papers citing "NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias"

8 / 8 papers shown

Title
Coverage-based Fairness in Multi-document Summarization Haoyuan Li Yusen Zhang Rui Zhang Snigdha Chaturvedi 80 0 0 11 Dec 2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said Yejin Bang Delong Chen Nayeon Lee Pascale Fung 32 25 0 27 Mar 2024
Entity-Based Evaluation of Political Bias in Automatic Summarization Karen Zhou Chenhao Tan 35 1 0 03 May 2023
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions Philippe Laban Chien-Sheng Wu Lidiya Murakhovs'ka Xiang Ánthony' Chen Caiming Xiong 18 8 0 17 Feb 2023
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization Yu Li Baolin Peng Pengcheng He Michel Galley Zhou Yu Jianfeng Gao 24 7 0 20 Dec 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 29 19 0 14 Dec 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 305 0 27 Apr 2021
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 178 3,510 0 10 Jun 2015