11 papers
Syntax Meets Semantics: Understanding Scientific Formulae
Yuni Susanti, Moritz Schubotz
Scientific formulae are a fundamental component of scholarly communication, yet their dual nature -- as structured syntax and carriers of semantics -- remains underexplored in scho…
SemRepo: A Knowledge Graph for Research Software and Its Scholarly Ecosystem
Abdul Rafay, Yuni Susanti, David Lamprecht +1
We present SemRepo, an RDF knowledge graph comprising over 81 million triples describing nearly 200,000 GitHub repositories associated with scientific research. SemRepo captures re…
Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models
Florian Kelber, Matthias Jobst, Yuni Susanti +1
Scientific knowledge discovery increasingly relies on large language models, yet many existing scholarly assistants depend on proprietary systems with tens or hundreds of billions…
Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts
Julius Neumann, Robert Lange, Yuni Susanti +1
Sentiment classification in short text datasets faces significant challenges such as class imbalance, limited training samples, and the inherent subjectivity of sentiment labels --…
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
Yuni Susanti, Michael Färber
Inferring causal relationships between variable pairs is crucial for understanding multivariate interactions in complex systems. Knowledge-based causal discovery -- which involves…
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
Michael Färber, David Lamprecht, Yuni Susanti
Graph Neural Networks (GNNs) have substantially advanced the field of recommender systems. However, despite the creation of more than a thousand knowledge graphs (KGs) under the W3…