Cedric Möller wins Best Student Paper Award at ESWC 2025

2025-07-04

We’re thrilled to share that Cedric Möller, a member of the AIX Group at Leuphana University Lüneburg, has won the Best Student Paper Award at the 22nd European Semantic Web Conference (ESWC 2025).

His paper "Analyzing the Influence of Knowledge Graph Information on Relation Extraction", co-authored with Prof. Dr. Ricardo Usbeck, explores how knowledge graphs can enhance relation extraction in natural language processing. The work was presented in Portorož, Slovenia.

Congratulations to Cedric Möller and the AIX team on this outstanding achievement!

Abstract:

We examine the impact of incorporating knowledge graph information on the performance of relation extraction models across a range of datasets. Our hypothesis is that the positions of entities within a knowledge graph provide important insights for relation extraction tasks. We conduct experiments on multiple datasets, each varying in the number of relations, training examples, and underlying knowledge graphs. Our results demonstrate that integrating knowledge graph information significantly enhances performance, especially when dealing with an imbalance in the number of training examples for each relation.

We evaluate the contribution of knowledge graph-based features by combining established relation extraction methods with graph-aware Neural Bellman-Ford networks. These features are tested in both supervised and zero-shot settings, demonstrating consistent performance improvements across various datasets.