User experience (UX) is a part of human-computer interaction (HCI) resea...
We tackle the problem of neural machine translation of mathematical form...
This demo paper presents the first tool to annotate the reuse of text,
i...
This project investigated new approaches and technologies to enhance the...
It allows any two parties that are either both on the same network or
co...
Although media bias detection is a complex multi-task problem, there is,...
The growing prominence of large language models, such as GPT-4 and ChatG...
Extracting information from academic PDF documents is crucial for numero...
Citation-based Information Retrieval (IR) methods for scientific documen...
Given AI systems like ChatGPT can generate content that is indistinguish...
Since the COVID-19 outbreak, the use of digital learning or education
pl...
The increasing number of questions on Question Answering (QA) platforms ...
Small to medium-scale data science experiments often rely on research
so...
Media has a substantial impact on the public perception of events. A
one...
Despite the recent success of multi-task learning and pre-finetuning for...
This paper presents CS-Insights, an interactive web application to analy...
The recent success of large language models for text generation poses a
...
Media coverage has a substantial effect on the public perception of even...
Recent years have witnessed growing consolidation of web operations. For...
Media bias is a multi-faceted construct influencing individual behavior ...
DBLP is the largest open-access repository of scientific articles on com...
Document embeddings and similarity measures underpin content-based
recom...
Learning scientific document representations can be substantially improv...
Digital mathematical libraries assemble the knowledge of years of
mathem...
Large amounts of annotated data have become more important than ever,
es...
Reference texts such as encyclopedias and news articles can manifest bia...
Media coverage possesses a substantial effect on the public perception o...
We present a free and open-source tool for creating web-based surveys th...
Slanted news coverage, also called media bias, can heavily influence how...
Decentralized storage is still rarely used in an academic and educationa...
Named entity recognition (NER) is an important task that aims to resolve...
Identifying cross-language plagiarism is challenging, especially for dis...
A drastic rise in potentially life-threatening misinformation has been a...
Media bias and its extreme form, fake news, can decisively affect public...
Slanted news coverage strongly affects public opinion. This is especiall...
Mathematical formulae carry complex and essential semantic information i...
Literature recommendation systems (LRS) assist readers in the discovery ...
Datasets and methods for cross-document coreference resolution (CDCR) fo...
Cross-document coreference resolution (CDCR) datasets, such as ECB+, con...
Document subject classification is essential for structuring (digital)
l...
Unsupervised concept identification through clustering, i.e., identifica...
We present two supervised (pre-)training methods to incorporate gloss
de...
We present zbMATH Open, the most comprehensive collection of reviews and...
News is a central source of information for individuals to inform themse...
Extensive research on target-dependent sentiment classification (TSC) ha...
Traditional media outlets are known to report political news in a biased...
Recommender systems assist legal professionals in finding relevant liter...
Mathematical information retrieval (MathIR) applications such as semanti...
The rise of language models such as BERT allows for high-quality text
pa...
Employing paraphrasing tools to conceal plagiarized text is a severe thr...