21 citations · 73 across the 10 of their papers we have counts for
10 papers
Discovery and Recognition of Formula Concepts using Machine Learning
Philipp Scharpf, Moritz Schubotz, Howard S. Cohl +2
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems…
Collaborative and AI-aided Exam Question Generation using Wikidata in Education
Philipp Scharpf, Moritz Schubotz, Andreas Spitz +2
Since the COVID-19 outbreak, the use of digital learning or education platforms has significantly increased. Teachers now digitally distribute homework and provide exercise questio…
Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling
Philipp Scharpf, Moritz Schubotz, Bela Gipp
The increasing number of questions on Question Answering (QA) platforms like Math Stack Exchange (MSE) signifies a growing information need to answer math-related questions. Howeve…
Towards Explaining STEM Document Classification using Mathematical Entity Linking
Philipp Scharpf, Moritz Schubotz, Bela Gipp
Document subject classification is essential for structuring (digital) libraries and allowing readers to search within a specific field. Currently, the classification is typically…
Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation
Philipp Scharpf, Moritz Schubotz, Bela Gipp
Mathematical information retrieval (MathIR) applications such as semantic formula search and question answering systems rely on knowledge-bases that link mathematical expressions t…
ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?
Philipp Scharpf, Moritz Schubotz, Andre Greiner-Petter +3
The zbMATH database contains more than 4 million bibliographic entries. We aim to provide easy access to these entries. Therefore, we maintain different index structures, including…