54 citations · 93 across the 18 of their papers we have counts for
23 papers
Using Hierarchical Controlled Vocabularies to Understand CLIP Retrieval Failures in Historical Photo Collections
Ratan Sebastian, Anett Hoppe, Christoph Rippe +1
GLAM institutions (Galleries, Libraries, Archives, and Museums) organise image access using controlled vocabularies such as the Art and Architecture Thesaurus (AAT). For content-ba…
Are LLM-based Chatbots Good Enough to Support Computer Science Students in Multiple-Choice Exercises?
Markos Stamatakis, Omkar Gavali, Joshua Berger +3
Chatbots based on large language models (LLMs) are increasingly adopted for information retrieval, text generation, and writing assistance. In educational settings, their use is al…
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos
Markos Stamatakis, Joshua Berger, Christian Wartena +2
Web-based educational videos offer flexible learning opportunities and are becoming increasingly popular. However, improving user engagement and knowledge retention remains a chall…
From Formulas to Figures: How Visual Elements Impact User Interactions in Educational Videos
Wolfgang Gritz, Hewi Salih, Anett Hoppe +1
Educational videos have become increasingly relevant in today's learning environments. While prior research in laboratory studies has provided valuable insights, analyzing real-wor…
Validating LLM-Generated Relevance Labels for Educational Resource Search
Ratan J. Sebastian, Anett Hoppe
Manual relevance judgements in Information Retrieval are costly and require expertise, driving interest in using Large Language Models (LLMs) for automatic assessment. While LLMs h…
Unraveling the Impact of Visual Complexity on Search as Learning
Wolfgang Gritz, Anett Hoppe, Ralph Ewerth
Information search has become essential for learning and knowledge acquisition, offering broad access to information and learning resources. The visual complexity of web pages is k…
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions
Evelyn Navarrete, Ralph Ewerth, Anett Hoppe
Identifying the regions of a learning resource that a learner pays attention to is crucial for assessing the material's impact and improving its design and related support systems.…
On the Influence of Reading Sequences on Knowledge Gain during Web Search
Wolfgang Gritz, Anett Hoppe, Ralph Ewerth
Nowadays, learning increasingly involves the usage of search engines and web resources. The related interdisciplinary research field search as learning aims to understand how peopl…
A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness
Evelyn Navarrete, Andreas Nehring, Sascha Schanze +2
People increasingly use videos on the Web as a source for learning. To support this way of learning, researchers and developers are continuously developing tools, proposing guideli…
Predicting Knowledge Gain for MOOC Video Consumption
Christian Otto, Markos Stamatakis, Anett Hoppe +1
Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years. As a result of the vast amount of…
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
Christian Otto, Markus Rokicki, Georg Pardi +9
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts…
Evaluation of Automated Image Descriptions for Visually Impaired Students
Anett Hoppe, David Morris, Ralph Ewerth
Illustrations are widely used in education, and sometimes, alternatives are not available for visually impaired students. Therefore, those students would benefit greatly from an au…
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption
Christian Otto, Ran Yu, Georg Pardi +7
In informal learning scenarios the popularity of multimedia content, such as video tutorials or lectures, has significantly increased. Yet, the users' interactions, navigation beha…
Citation Recommendation for Research Papers via Knowledge Graphs
Arthur Brack, Anett Hoppe, Ralph Ewerth
Citation recommendation for research papers is a valuable task that can help researchers improve the quality of their work by suggesting relevant related work. Current approaches f…
Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies
Arthur Brack, Anett Hoppe, Markus Stocker +2
Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it…
Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers
Arthur Brack, Anett Hoppe, Pascal Buschermöhle +1
Sequential sentence classification deals with the categorisation of sentences based on their content and context. Applied to scientific texts, it enables the automatic structuring…
Coreference Resolution in Research Papers from Multiple Domains
Arthur Brack, Daniel Uwe Müller, Anett Hoppe +1
Coreference resolution is essential for automatic text understanding to facilitate high-level information retrieval tasks such as text summarisation or question answering. Previous…
Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality
Jianwei Shi, Christian Otto, Anett Hoppe +2
Ranking and recommendation of multimedia content such as videos is usually realized with respect to the relevance to a user query. However, for lecture videos and MOOCs (Massive Op…
Requirements Analysis for an Open Research Knowledge Graph
Arthur Brack, Anett Hoppe, Markus Stocker +2
Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it…
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
Jennifer D'Souza, Anett Hoppe, Arthur Brack +3
We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1.0). The ST…
Domain-independent Extraction of Scientific Concepts from Research Articles
Arthur Brack, Jennifer D'Souza, Anett Hoppe +2
We examine the novel task of domain-independent scientific concept extraction from abstracts of scholarly articles and present two contributions. First, we suggest a set of generic…
An Analytics Tool for Exploring Scientific Software and Related Publications
Anett Hoppe, Jascha Hagen, Helge Holzmann +2
Scientific software is one of the key elements for reproducible research. However, classic publications and related scientific software are typically not (sufficiently) linked, and…
TIB-arXiv: An Alternative Search Portal for the arXiv Pre-print Server
Matthias Springstein, Huu Hung Nguyen, Anett Hoppe +1
arXiv is a popular pre-print server focusing on natural science disciplines (e.g. physics, computer science, quantitative biology). As a platform with focus on easy publishing serv…