b'Bela Gipp'

research

∙ 06/28/2023

Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications

User experience (UX) is a part of human-computer interaction (HCI) resea...

0 Anastasia Zhukova, et al. ∙

research

∙ 05/25/2023

Neural Machine Translation for Mathematical Formulae

We tackle the problem of neural machine translation of mathematical form...

0 Felix Petersen, et al. ∙

research

∙ 05/22/2023

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math

This demo paper presents the first tool to annotate the reuse of text, i...

0 Ankit Satpute, et al. ∙

research

∙ 05/12/2023

Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems

This project investigated new approaches and technologies to enhance the...

0 Bela Gipp, et al. ∙

research

∙ 05/03/2023

Introducing Peer Copy – A Fully Decentralized Peer-to-Peer File Transfer Tool

It allows any two parties that are either both on the same network or co...

0 Dennis Trautwein, et al. ∙

research

∙ 04/25/2023

Introducing MBIB – the first Media Bias Identification Benchmark Task and Dataset Collection

Although media bias detection is a complex multi-task problem, there is,...

0 Martin Wessel, et al. ∙

research

∙ 03/24/2023

Paraphrase Detection: Human vs. Machine Content

The growing prominence of large language models, such as GPT-4 and ChatG...

0 Jonas Becker, et al. ∙

research

∙ 03/17/2023

A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents

Extracting information from academic PDF documents is crucial for numero...

0 Norman Meuschke, et al. ∙

research

∙ 03/03/2023

Discovery and Recognition of Formula Concepts using Machine Learning

Citation-based Information Retrieval (IR) methods for scientific documen...

0 Philipp Scharpf, et al. ∙

research

∙ 02/16/2023

AI Usage Cards: Responsibly Reporting AI-generated Content

Given AI systems like ChatGPT can generate content that is indistinguish...

0 Jan Philip Wahle, et al. ∙

research

∙ 11/15/2022

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

Since the COVID-19 outbreak, the use of digital learning or education pl...

0 Philipp Scharpf, et al. ∙

research

∙ 11/12/2022

Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling

The increasing number of questions on Question Answering (QA) platforms ...

0 Philipp Scharpf, et al. ∙

research

∙ 11/08/2022

Caching and Reproducibility: Making Data Science experiments faster and FAIRer

Small to medium-scale data science experiments often rely on research so...

0 Moritz Schubotz, et al. ∙

research

∙ 11/07/2022

Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles

Media has a substantial impact on the public perception of events. A one...

0 Timo Spinde, et al. ∙

research

∙ 10/26/2022

Analyzing Multi-Task Learning for Abstractive Text Summarization

Despite the recent success of multi-task learning and pre-finetuning for...

0 Frederic Kirstein, et al. ∙

research

∙ 10/13/2022

CS-Insights: A System for Analyzing Computer Science Research

This paper presents CS-Insights, an interactive web application to analy...

0 Terry Ruas, et al. ∙

research

∙ 10/07/2022

How Large Language Models are Transforming Machine-Paraphrased Plagiarism

The recent success of large language models for text generation poses a ...

0 Jan Philip Wahle, et al. ∙

research

∙ 09/29/2022

Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Experts

Media coverage has a substantial effect on the public perception of even...

0 Timo Spinde, et al. ∙

research

∙ 08/11/2022

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

Recent years have witnessed growing consolidation of web operations. For...

0 Dennis Trautwein, et al. ∙

research

∙ 05/22/2022

A Domain-adaptive Pre-training Approach for Language Bias Detection in News

Media bias is a multi-faceted construct influencing individual behavior ...

0 Jan-David Krieger, et al. ∙

research

∙ 04/28/2022

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

DBLP is the largest open-access repository of scientific articles on com...

0 Jan Philip Wahle, et al. ∙

research

∙ 03/28/2022

Specialized Document Embeddings for Aspect-based Similarity of Research Papers

Document embeddings and similarity measures underpin content-based recom...

0 Malte Ostendorff, et al. ∙

research

∙ 02/14/2022

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Learning scientific document representations can be substantially improv...

10 Malte Ostendorff, et al. ∙

research

∙ 01/24/2022

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

Digital mathematical libraries assemble the knowledge of years of mathem...

0 Andre Greiner-Petter, et al. ∙

research

∙ 12/15/2021

Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort

Large amounts of annotated data have become more important than ever, es...

0 Franziska Weeber, et al. ∙

research

∙ 12/14/2021

Towards A Reliable Ground-Truth For Biased Language Detection

Reference texts such as encyclopedias and news articles can manifest bia...

0 Timo Spinde, et al. ∙

research

∙ 12/14/2021

Do You Think It's Biased? How To Ask For The Perception Of Media Bias

Media coverage possesses a substantial effect on the public perception o...

0 Timo Spinde, et al. ∙

research

∙ 12/14/2021

TASSY – A Text Annotation Survey System

We present a free and open-source tool for creating web-based surveys th...

0 Timo Spinde, et al. ∙

research

∙ 12/14/2021

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

Slanted news coverage, also called media bias, can heavily influence how...

0 Timo Spinde, et al. ∙

research

∙ 12/13/2021

Academic Storage Cluster

Decentralized storage is still rarely used in an academic and educationa...

0 Alexander von Tottleben, et al. ∙

research

∙ 12/13/2021

ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts

Named entity recognition (NER) is an important task that aims to resolve...

0 Anastasia Zhukova, et al. ∙

research

∙ 11/18/2021

Detecting Cross-Language Plagiarism using Open Knowledge Graphs

Identifying cross-language plagiarism is challenging, especially for dis...

0 Johannes Stegmüller, et al. ∙

research

∙ 11/15/2021

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection

A drastic rise in potentially life-threatening misinformation has been a...

0 Jan Philip Wahle, et al. ∙

research

∙ 10/18/2021

Newsalyze: Effective Communication of Person-Targeting Biases in News Articles

Media bias and its extreme form, fake news, can decisively affect public...

0 Felix Hamborg, et al. ∙

research

∙ 10/18/2021

How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?

Slanted news coverage strongly affects public opinion. This is especiall...

0 Felix Hamborg, et al. ∙

research

∙ 09/17/2021

MathTools: An Open API for Convenient MathML Handling

Mathematical formulae carry complex and essential semantic information i...

0 Andre Greiner-Petter, et al. ∙

research

∙ 09/16/2021

A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles

Literature recommendation systems (LRS) assist readers in the discovery ...

0 Malte Ostendorff, et al. ∙

research

∙ 09/11/2021

XCoref: Cross-document Coreference Resolution in the Wild

Datasets and methods for cross-document coreference resolution (CDCR) fo...

0 Anastasia Zhukova, et al. ∙

research

∙ 09/11/2021

Qualitative and Quantitative Analysis of Diversity in Cross-document Coreference Resolution Datasets

Cross-document coreference resolution (CDCR) datasets, such as ECB+, con...

0 Anastasia Zhukova, et al. ∙

research

∙ 09/02/2021

Towards Explaining STEM Document Classification using Mathematical Entity Linking

Document subject classification is essential for structuring (digital) l...

0 Philipp Scharpf, et al. ∙

research

∙ 07/02/2021

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

Unsupervised concept identification through clustering, i.e., identifica...

0 Anastasia Zhukova, et al. ∙

research

∙ 06/15/2021

Incorporating Word Sense Disambiguation in Neural Language Models

We present two supervised (pre-)training methods to incorporate gloss de...

0 Jan Philip Wahle, et al. ∙

research

∙ 06/08/2021

zbMATH Open: API Solutions and Research Challenges

We present zbMATH Open, the most comprehensive collection of reviews and...

0 Matteo Petrera, et al. ∙

research

∙ 05/20/2021

Newsalyze: Enabling News Consumers to Understand Media Bias

News is a central source of information for individuals to inform themse...

0 Felix Hamborg, et al. ∙

research

∙ 05/20/2021

Towards Target-dependent Sentiment Classification in News Articles

Extensive research on target-dependent sentiment classification (TSC) ha...

0 Felix Hamborg, et al. ∙

research

∙ 05/20/2021

Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias

Traditional media outlets are known to report political news in a biased...

0 Timo Spinde, et al. ∙

research

∙ 04/28/2021

Evaluating Document Representations for Content-based Legal Literature Recommendations

Recommender systems assist legal professionals in finding relevant liter...

4 Malte Ostendorff, et al. ∙

research

∙ 04/11/2021

Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation

Mathematical information retrieval (MathIR) applications such as semanti...

0 Philipp Scharpf, et al. ∙

research

∙ 03/23/2021

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection

The rise of language models such as BERT allows for high-quality text pa...

0 Jan Philip Wahle, et al. ∙

research

∙ 03/22/2021

Identifying Machine-Paraphrased Plagiarism

Employing paraphrasing tools to conceal plagiarized text is a severe thr...

0 Jan Philip Wahle, et al. ∙

Bela Gipp

Featured Co-authors