67 citations · 361 across the 22 of their papers we have counts for
8 papers · 1 filter
Analyzing Multi-Task Learning for Abstractive Text Summarization
Frederic Kirstein, Jan Philip Wahle, Terry Ruas +1
Despite the recent success of multi-task learning and pre-finetuning for natural language understanding, few works have studied the effects of task families on abstractive text sum…
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
Jan Philip Wahle, Terry Ruas, Frederic Kirstein +1
The recent success of large language models for text generation poses a severe threat to academic integrity, as plagiarists can generate realistic paraphrases indistinguishable fro…
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
Timo Spinde, Jan-David Krieger, Terry Ruas +4
Media has a substantial impact on the public perception of events. A one-sided or polarizing perspective on any topic is usually described as media bias. One of the ways how bias i…
CS-Insights: A System for Analyzing Computer Science Research
Terry Ruas, Jan Philip Wahle, Lennart Küll +2
This paper presents CS-Insights, an interactive web application to analyze computer science publications from DBLP through multiple perspectives. The dedicated interfaces allow its…
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts
Timo Spinde, Manuel Plank, Jan-David Krieger +3
Media coverage has a substantial effect on the public perception of events. Nevertheless, media outlets are often biased. One way to bias news articles is by altering the word choi…
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
Jan-David Krieger, Timo Spinde, Terry Ruas +2
Media bias is a multi-faceted construct influencing individual behavior and collective decision-making. Slanted news reporting is the result of one-sided and polarized writing whic…