most citedLexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD System

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2025

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Simon Bekemeier, Moritz Blum, Luana Caron +15

Refrigeration based on the magnetocaloric effect (MCE) can contribute to energysaving, environmentally friendly cooling in private households, or industrial application. The coolin…

cs.AI2025

CompoST: A Benchmark for Analyzing the Ability of LLMs To Compositionally Interpret Questions in a QALD Setting

David Maria Schmidt, Raoul Schubert, Philipp Cimiano

Language interpretation is a compositional process, in which the meaning of more complex linguistic structures is inferred from the meaning of their parts. Large language models po…

cs.AI2024★ 1 cited

Lexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD System

David Maria Schmidt, Mohammad Fazleh Elahi, Philipp Cimiano

In this paper, we examine the impact of lexicalization on Question Answering over Linked Data (QALD). It is well known that one of the key challenges in interpreting natural langua…

cs.LG2024

Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets

Moritz Blum, Basil Ell, Hannes Ill +1

Link Prediction(LP) is an essential task over Knowledge Graphs(KGs), traditionally focussed on using and predicting the relations between entities. Textual entity descriptions have…

cs.CL2024

Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials

Gennaro Nolano, Moritz Blum, Basil Ell +1

In recent years, large language models have achieved state-of-the-art performance across various NLP tasks. However, investigations have shown that these models tend to rely on sho…