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20182026
most citedDomain-independent Extraction of Scientific Concepts from Research Articles

54 citations · 93 across the 18 of their papers we have counts for

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10 papers · 1 filter

cs.IR2026

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…

cs.IR2025

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…

cs.IR2025

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…

cs.IR2024

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…

cs.IR2022

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…

cs.IR2022★ 9 cited

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…

cs.IR2021★ 1 cited

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…

cs.IR2021

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…

cs.IR2020★ 6 cited

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…

cs.IR2020★ 54 cited

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…