Philipp Scharpf
YOU?
Author Swipe
View article: Mathematical Entity Linking Methods and Applications
Mathematical Entity Linking Methods and Applications Open
Entity Linking (EL) ist eine wichtige Komponente von Information Retrieval (IR) Systemen, die abstrakte Darstellungen aus Textdokumenten extrahieren und spielt damit eine entscheidende Rolle in verschiedenen Anwendungen wie der semantische…
View article: Discovery and recognition of formula concepts using machine learning
Discovery and recognition of formula concepts using machine learning Open
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems in academic disciplines that use many references. In scien…
View article: Discovery and Recognition of Formula Concepts using Machine Learning
Discovery and Recognition of Formula Concepts using Machine Learning Open
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems in academic disciplines that use many references. In scien…
View article: Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling
Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling Open
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. However, there is currently very little research on approaches fo…
View article: Do the Math: Making Mathematics in Wikipedia Computable
Do the Math: Making Mathematics in Wikipedia Computable Open
Wikipedia combines the power of AI solutions and human reviewers to safeguard article quality. Quality control objectives include detecting malicious edits, fixing typos, and spotting inconsistent formatting. However, no automated quality …
View article: Mining mathematical documents for question answering via unsupervised formula labeling
Mining mathematical documents for question answering via unsupervised formula labeling Open
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. However, there is currently very little research on approaches fo…
View article: Collaborative and AI-aided Exam Question Generation using Wikidata in Education
Collaborative and AI-aided Exam Question Generation using Wikidata in Education Open
Since the COVID-19 outbreak, the use of digital learning or education platforms has significantly increased. Teachers now digitally distribute homework and provide exercise questions. In both cases, teachers need to continuously develop no…
View article: Towards Explaining STEM Document Classification using Mathematical Entity Linking
Towards Explaining STEM Document Classification using Mathematical Entity Linking Open
Document subject classification is essential for structuring (digital) libraries and allowing readers to search within a specific field. Currently, the classification is typically made by human domain experts. Semi-supervised Machine Learn…
View article: Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation
Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation Open
Mathematical information retrieval (MathIR) applications such as semantic formula search and question answering systems rely on knowledge-bases that link mathematical expressions to their natural language names. For database population, ma…
View article: Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles\n Using Annotation Recommendation
Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles\n Using Annotation Recommendation Open
Mathematical information retrieval (MathIR) applications such as semantic\nformula search and question answering systems rely on knowledge-bases that link\nmathematical expressions to their natural language names. For database\npopulation,…
View article: Mathematics in Wikidata
Mathematics in Wikidata Open
Documents from Science, Technology, Engineering, and Mathematics (STEM) disciplines usually contain a signicant amount of mathematical formulae alongside text. Some Mathematical Information Retrieval (MathIR) systems, e.g., Mathematical Qu…
View article: ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?
ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open? Open
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 a formula index. To optimize the findability of the entrie…
View article: Detecting Machine-Obfuscated Plagiarism
Detecting Machine-Obfuscated Plagiarism Open
Research on academic integrity has identified online paraphrasing tools as a severe threat to the effectiveness of plagiarism detection systems. To enable the automated identification of machine-paraphrased text, we make three contribution…
View article: Introducing MathQA: a Math-Aware question answering system
Introducing MathQA: a Math-Aware question answering system Open
Purpose This paper aims to present an open source math-aware Question Answering System based on Ask Platypus. Design/methodology/approach The system returns as a single mathematical formula for a natural language question in English or Hin…
View article: Simulation and Visualization of Gravitational Waves from Binary Black Holes
Simulation and Visualization of Gravitational Waves from Binary Black Holes Open
This thesis covers the simulation and visualization of Gravitational Waves from Binary Black Hole systems. It aims to provide an overview of theoretical Gravitational Wave science, starting with a short insight into the experimental techno…