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20152026
most citedDesign and Evaluation of IPFS: A Storage Layer for the Decentralized Web

172 citations · 729 across the 66 of their papers we have counts for

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Showing 2022Show all

14 papers · 1 filter

cs.IR2022★ 6 cited

Collaborative and AI-aided Exam Question Generation using Wikidata in Education

Philipp Scharpf, Moritz Schubotz, Andreas Spitz +2

Since the COVID-19 outbreak, the use of digital learning or education platforms has significantly increased. Teachers now digitally distribute homework and provide exercise questio…

cs.IR2022

Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling

Philipp Scharpf, Moritz Schubotz, Bela Gipp

The increasing number of questions on Question Answering (QA) platforms like Math Stack Exchange (MSE) signifies a growing information need to answer math-related questions. Howeve…

cs.CL2022★ 2 cited

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…

cs.CL2022★ 29 cited

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…

cs.SE2022★ 2 cited

Caching and Reproducibility: Making Data Science experiments faster and FAIRer

Moritz Schubotz, Ankit Satpute, Andre Greiner-Petter +2

Small to medium-scale data science experiments often rely on research software developed ad-hoc by individual scientists or small teams. Often there is no time to make the research…

cs.CL2022★ 25 cited

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.CL2022★ 2 cited

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…

cs.CL2022★ 67 cited

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…

cs.NI2022★ 172 cited

Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web

Dennis Trautwein, Aravindh Raman, Gareth Tyson +5

Recent years have witnessed growing consolidation of web operations. For example, the majority of web traffic now originates from a few organizations, and even micro-websites often…

cs.CL2022★ 18 cited

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…

cs.DL2022

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +1

DBLP is the largest open-access repository of scientific articles on computer science and provides metadata associated with publications, authors, and venues. We retrieved more tha…

cs.IR2022

Specialized Document Embeddings for Aspect-based Similarity of Research Papers

Malte Ostendorff, Till Blume, Terry Ruas +2

Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarit…

cs.CL2022★ 10 cited

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein +2

Learning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge lies in creating positive and negative train…

cs.DL2022★ 2 cited

Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems

André Greiner-Petter, Howard S. Cohl, Abdou Youssef +5

Digital mathematical libraries assemble the knowledge of years of mathematical research. Numerous disciplines (e.g., physics, engineering, pure and applied mathematics) rely heavil…