activity
20182023
most citedImproving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations

24 citations · 69 across the 8 of their papers we have counts for

collaborators

12 papers

cs.IR20231 cited

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

Bela Gipp, André Greiner-Petter, Moritz Schubotz +1

This project investigated new approaches and technologies to enhance the accessibility of mathematical content and its semantic information for a broad range of information retriev…

cs.IR202324 cited

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

Norman Meuschke, Apurva Jagdale, Timo Spinde +2

Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements…

cs.CY20231 cited

AI Usage Cards: Responsibly Reporting AI-generated Content

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +2

Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understandi…

cs.IR20221 cited

Recommending Research Papers to Chemists: A Specialized Interface for Chemical Entity Exploration

Corinna Breitinger, Kay Herklotz, Tim Flegelskamp +1

Researchers and scientists increasingly rely on specialized information retrieval (IR) or recommendation systems (RS) to support them in their daily research tasks. Paper recommend…

cs.CL2021

TASSY -- A Text Annotation Survey System

Timo Spinde, Kanishka Sinha, Norman Meuschke +1

We present a free and open-source tool for creating web-based surveys that include text annotation tasks. Existing tools offer either text annotation or survey functionality but no…

cs.IR2021

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Norman Meuschke

Identifying academic plagiarism is a pressing problem, among others, for research institutions, publishers, and funding organizations. Detection approaches proposed so far analyze…