output
20082025
most citedPerspective: Challenges and Transformative Opportunities in Superconductor Vortex Physics

59 citations

11 papers

cs.CL2025★ 1 cited

What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)

Anastasia Zhukova, Terry Ruas, Felix Hamborg +2

In a world overwhelmed with news, determining which information comes from reliable sources or how neutral is the reported information in the news articles poses a challenge to new…

cs.CL2021★ 21 cited

Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings

Timo Spinde, Lada Rudnitckaia, Felix Hamborg +1

Slanted news coverage, also called media bias, can heavily influence how news consumers interpret and react to the news. To automatically identify biased language, we present an ex…

cond-mat.supr-con2021★ 4 cited

Hessian characterization of a vortex in a maze

Roland Willa, Vadim B. Geshkenbein, Gianni Blatter

Recent advances in vortex imaging allow for tracing the position of individual vortices with high resolution. Pushing an isolated vortex through the sample with the help of a contr…

cs.CL2021★ 2 cited

Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons

Anastasia Zhukova, Felix Hamborg, Karsten Donnay +1

Unsupervised concept identification through clustering, i.e., identification of semantically related words and phrases, is a common approach to identify contextual primitives emplo…

cond-mat.supr-con2021

Designing high-performance superconductors with nanoparticle inclusions: comparisons to strong pinning theory

Sarah C. Jones, Masashi Miura, Ryuji Yoshida +4

One of the most promising routes for achieving unprecedentedly high critical currents in superconductors is to incorporate dispersed, non-superconducting nanoparticles to control t…

cs.CL2021★ 10 cited

Towards Target-dependent Sentiment Classification in News Articles

Felix Hamborg, Karsten Donnay, Bela Gipp

Extensive research on target-dependent sentiment classification (TSC) has led to strong classification performances in domains where authors tend to explicitly express sentiment ab…