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20202022
most citedTowards Axiomatic Explanations for Neural Ranking Models

24 citations · 51 across the 7 of their papers we have counts for

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cs.CL2022

Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation

Alonso Palomino, Martin Potthast, Khalid Al-Khatib +1

Most research on natural language processing treats bias as an absolute concept: Based on a (probably complex) algorithmic analysis, a sentence, an article, or a text is classified…

cs.CL20222 cited

Trigger Warnings: Bootstrapping a Violence Detector for FanFiction

Magdalena Wolska, Christopher Schröder, Ole Borchardt +2

We present the first dataset and evaluation results on a newly defined computational task of trigger warning assignment. Labeled corpus data has been compiled from narrative works…

cs.CL2021

Controlled Neural Sentence-Level Reframing of News Articles

Wei-Fan Chen, Khalid Al-Khatib, Benno Stein +1

Framing a news article means to portray the reported event from a specific perspective, e.g., from an economic or a health perspective. Reframing means to change this perspective.…

cs.CL2020

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth +1

Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society. Any form of media can contain overly biased co…

cs.CL2020

Detecting Media Bias in News Articles using Gaussian Bias Distributions

Wei-Fan Chen, Khalid Al-Khatib, Benno Stein +1

Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featureba…

cs.CL202020 cited

The Importance of Suppressing Domain Style in Authorship Analysis

Sebastian Bischoff, Niklas Deckers, Marcel Schliebs +5

The prerequisite of many approaches to authorship analysis is a representation of writing style. But despite decades of research, it still remains unclear to what extent commonly u…